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ORCIDMarc Toussaint
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- affiliation: TU Berlin, Germany
- affiliation (former): University of Edinburgh, UK
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2020 – today
- 2024
[j41]Andreas Orthey
, Sohaib Akbar, Marc Toussaint:
Multilevel motion planning: A fiber bundle formulation. Int. J. Robotics Res. 43(1): 3-33 (2024)- [c150]Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer:
Amortized Active Learning for Nonparametric Functions. IAL@PKDD/ECML 2024: 18-32 - [c149]Akmaral Moldagalieva, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig:
db-CBS: Discontinuity-Bounded Conflict-Based Search for Multi-Robot Kinodynamic Motion Planning. ICRA 2024: 14569-14575 - [c148]Marc Toussaint, Joaquim Ortiz de Haro, Valentin N. Hartmann, Erez Karpas, Wolfgang Hönig:
Effort Level Search in Infinite Completion Trees with Application to Task-and-Motion Planning. ICRA 2024: 14902-14908 - [c147]Svetlana Levit, Joaquim Ortiz de Haro, Marc Toussaint:
Solving Sequential Manipulation Puzzles by Finding Easier Subproblems. ICRA 2024: 14924-14930 - [c146]Janis Eric Freund, Camille Phiquepal, Andreas Orthey, Marc Toussaint:
Camera-Based Belief Space Planning in Discrete Partially-Observable Domains. IROS 2024: 9953-9959 - [c145]Christian Henkel, Marc Toussaint, Wolfgang Hönig:
GSRM: Building Roadmaps for Query-Efficient and Near-Optimal Path Planning Using a Reaction Diffusion System. IROS 2024: 10694-10701 - [c144]Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint, Ludovic Righetti:
iDb-RRT: Sampling-based Kinodynamic Motion Planning with Motion Primitives and Trajectory Optimization. IROS 2024: 10702-10709 - [c143]Khaled Wahba, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig:
Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments. IROS 2024: 12750-12757 - [i94]Cen-You Li, Olaf Duennbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer:
Global Safe Sequential Learning via Efficient Knowledge Transfer. CoRR abs/2402.14402 (2024) - [i93]Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint, Ludovic Righetti:
iDb-RRT: Sampling-based Kinodynamic Motion Planning with Motion Primitives and Trajectory Optimization. CoRR abs/2403.10745 (2024) - [i92]Svetlana Levit, Joaquim Ortiz de Haro, Marc Toussaint:
Solving Sequential Manipulation Puzzles by Finding Easier Subproblems. CoRR abs/2405.02053 (2024) - [i91]Marc Toussaint, Cornelius V. Braun, Joaquim Ortiz de Haro:
NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling. CoRR abs/2407.03035 (2024) - [i90]Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer:
Amortized Active Learning for Nonparametric Functions. CoRR abs/2407.17992 (2024) - [i89]Cornelius V. Braun, Robert T. Lange, Marc Toussaint:
Stein Variational Evolution Strategies. CoRR abs/2410.10390 (2024) - [i88]Christian Henkel, Marc Toussaint, Wolfgang Hönig:
GSRM: Building Roadmaps for Query-Efficient and Near-Optimal Path Planning Using a Reaction Diffusion System. CoRR abs/2410.11024 (2024) - 2023
- [j40]Sabrina Hoppe, Markus Giftthaler, Robert Krug, Marc Toussaint:
Stabilizing deep Q-learning with Q-graph-based bounds. Int. J. Robotics Res. 42(9): 633-654 (2023) - [j39]Servet B. Bayraktar, Andreas Orthey, Zachary K. Kingston, Marc Toussaint, Lydia E. Kavraki:
Solving Rearrangement Puzzles Using Path Defragmentation in Factored State Spaces. IEEE Robotics Autom. Lett. 8(8): 4529-4536 (2023) - [j38]Valentin N. Hartmann, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint:
Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly. IEEE Trans. Robotics 39(1): 239-252 (2023) - [c142]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. ICML 2023: 8469-8488 - [c141]Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint:
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning. ICRA 2023: 3729-3735 - [c140]Valentin N. Hartmann, Joaquim Ortiz de Haro, Marc Toussaint:
Efficient Path Planning In Manipulation Planning Problems by Actively Reusing Validation Effort. IROS 2023: 2822-2829 - [c139]Hongyou Zhou, Ingmar Schubert, Marc Toussaint, Ozgur S. Oguz:
Spatial Reasoning via Deep Vision Models for Robotic Sequential Manipulation. IROS 2023: 11328-11335 - [e6]Jie Tan, Marc Toussaint, Kourosh Darvish:
Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA. Proceedings of Machine Learning Research 229, PMLR 2023 [contents] - [i87]Camille Phiquepal, Marc Toussaint:
Control-Tree Optimization: an approach to MPC under discrete Partial Observability. CoRR abs/2302.00116 (2023) - [i86]Valentin N. Hartmann, Joaquim Ortiz de Haro, Marc Toussaint:
Efficient Path Planning In Manipulation Planning Problems by Actively Reusing Validation Effort. CoRR abs/2303.00637 (2023) - [i85]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. CoRR abs/2303.03378 (2023) - [i84]Welf Rehberg, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig:
Comparison of Optimization-Based Methods for Energy-Optimal Quadrotor Motion Planning. CoRR abs/2304.14062 (2023) - [i83]Valentin N. Hartmann, Marc Toussaint:
Towards computing low-makespan solutions for multi-arm multi-task planning problems. CoRR abs/2305.17527 (2023) - [i82]Hongyou Zhou, Ingmar Fabian Schubert, Marc Toussaint, Ozgur S. Oguz:
Spatial Reasoning via Deep Vision Models for Robotic Sequential Manipulation. CoRR abs/2306.17053 (2023) - [i81]Phillip Grote, Joaquim Ortiz de Haro, Marc Toussaint, Ozgur S. Oguz:
Neural Field Representations of Articulated Objects for Robotic Manipulation Planning. CoRR abs/2309.07620 (2023) - [i80]Janis Eric Freund, Camille Phiquepal, Andreas Orthey, Marc Toussaint:
Asymptotically Optimal Belief Space Planning in Discrete Partially-Observable Domains. CoRR abs/2309.10672 (2023) - [i79]Akmaral Moldagalieva, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig:
db-CBS: Discontinuity-Bounded Conflict-Based Search for Multi-Robot Kinodynamic Motion Planning. CoRR abs/2309.16445 (2023) - [i78]Khaled Wahba, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig:
Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments. CoRR abs/2310.03394 (2023) - [i77]Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint:
iDb-A*: Iterative Search and Optimization for Optimal Kinodynamic Motion Planning. CoRR abs/2311.03553 (2023) - 2022
- [j37]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visual analytics for nonlinear programming in robot motion planning. J. Vis. 25(1): 127-141 (2022) - [j36]Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. IEEE Robotics Autom. Lett. 7(2): 882-889 (2022) - [j35]Nicolas Kubail Kalousdian, Grzegorz Lochnicki, Valentin N. Hartmann, Samuel Leder, Ozgur S. Oguz, Achim Menges, Marc Toussaint:
Learning Robotic Manipulation of Natural Materials With Variable Properties for Construction Tasks. IEEE Robotics Autom. Lett. 7(2): 5749-5756 (2022) - [j34]Camille Phiquepal, Andreas Orthey, Nicolas Viennot, Marc Toussaint:
Path-Tree Optimization in Discrete Partially Observable Environments Using Rapidly-Exploring Belief-Space Graphs. IEEE Robotics Autom. Lett. 7(4): 10160-10167 (2022) - [j33]Joaquim Ortiz de Haro, Erez Karpas, Michael Katz, Marc Toussaint:
A Conflict-Driven Interface Between Symbolic Planning and Nonlinear Constraint Solving. IEEE Robotics Autom. Lett. 7(4): 10518-10525 (2022) - [j32]Jung-Su Ha, Danny Driess, Marc Toussaint:
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input. IEEE Robotics Autom. Lett. 7(4): 10857-10864 (2022) - [c138]Joaquim Ortiz de Haro, Erez Karpas, Marc Toussaint, Michael Katz:
Conflict-Directed Diverse Planning for Logic-Geometric Programming. ICAPS 2022: 279-287 - [c137]Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint:
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRL 2022: 1755-1768 - [c136]Francesco Grothe, Valentin N. Hartmann, Andreas Orthey, Marc Toussaint:
ST-RRT*: Asymptotically-Optimal Bidirectional Motion Planning through Space-Time. ICRA 2022: 3314-3320 - [c135]Jay Kamat, Joaquim Ortiz de Haro, Marc Toussaint, Florian T. Pokorny, Andreas Orthey:
BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning. IROS 2022: 4492-4497 - [c134]Wolfgang Hönig, Joaquim Ortiz de Haro, Marc Toussaint:
db-A*: Discontinuity-bounded Search for Kinodynamic Mobile Robot Motion Planning. IROS 2022: 13540-13547 - [c133]Marc Toussaint, Jason Harris, Jung-Su Ha, Danny Driess, Wolfgang Hönig:
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation. IROS 2022: 13753-13760 - [c132]Cornelius V. Braun, Joaquim Ortiz de Haro, Marc Toussaint, Ozgur S. Oguz:
RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning. IROS 2022: 13761-13768 - [c131]Jason Harris, Danny Driess, Marc Toussaint:
FC3: Feasibility-Based Control Chain Coordination. IROS 2022: 13769-13776 - [c130]Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell:
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort. ISRR 2022: 555-571 - [c129]Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint:
Reinforcement Learning with Neural Radiance Fields. NeurIPS 2022 - [i76]Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint:
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRR abs/2202.11855 (2022) - [i75]Jay Kamat, Joaquim Ortiz de Haro, Marc Toussaint, Florian T. Pokorny, Andreas Orthey:
BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning. CoRR abs/2203.01751 (2022) - [i74]Francesco Grothe, Valentin N. Hartmann, Andreas Orthey, Marc Toussaint:
ST-RRT*: Asymptotically-Optimal Bidirectional Motion Planning through Space-Time. CoRR abs/2203.02176 (2022) - [i73]Marc Toussaint, Jason Harris, Jung-Su Ha, Danny Driess, Wolfgang Hönig:
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation. CoRR abs/2203.05390 (2022) - [i72]Wolfgang Hönig, Joaquim Ortiz de Haro, Marc Toussaint:
db-A*: Discontinuity-bounded Search for Kinodynamic Mobile Robot Motion Planning. CoRR abs/2203.11108 (2022) - [i71]Camille Phiquepal, Andreas Orthey, Nicolas Viennot, Marc Toussaint:
Path-Tree Optimization in Partially Observable Environments using Rapidly-Exploring Belief-Space Graphs. CoRR abs/2204.04444 (2022) - [i70]Jason Harris, Danny Driess, Marc Toussaint:
FC3: Feasibility-Based Control Chain Coordination. CoRR abs/2205.04362 (2022) - [i69]Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell:
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort. CoRR abs/2205.08480 (2022) - [i68]Danny Driess, Ingmar Schubert, Peter R. Florence, Yunzhu Li, Marc Toussaint:
Reinforcement Learning with Neural Radiance Fields. CoRR abs/2206.01634 (2022) - [i67]Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint:
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning. CoRR abs/2210.12386 (2022) - [i66]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Planning Coordinated Human-Robot Motions with Neural Network Full-Body Prediction Models. CoRR abs/2210.13317 (2022) - [i65]Joaquim Ortiz de Haro, Erez Karpas, Michael Katz, Marc Toussaint:
A Conflict-driven Interface between Symbolic Planning and Nonlinear Constraint Solving. CoRR abs/2211.15275 (2022) - [i64]S. Bora Bayraktar, Andreas Orthey, Zachary K. Kingston, Marc Toussaint, Lydia E. Kavraki:
Solving Rearrangement Puzzles using Path Defragmentation in Factored State Spaces. CoRR abs/2212.02955 (2022) - 2021
- [j31]Danny Driess, Jung-Su Ha, Marc Toussaint:
Learning to solve sequential physical reasoning problems from a scene image. Int. J. Robotics Res. 40(12-14): 1435-1466 (2021) - [j30]Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice:
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze. IEEE Robotics Autom. Lett. 6(1): 367-373 (2021) - [j29]Andreas Orthey, Marc Toussaint:
Section Patterns: Efficiently Solving Narrow Passage Problems in Multilevel Motion Planning. IEEE Trans. Robotics 37(6): 1891-1905 (2021) - [c128]Marie-Therese Khoury, Andreas Orthey, Marc Toussaint:
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts. CASE 2021: 1547-1553 - [c127]Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Marc Toussaint:
Structured deep generative models for sampling on constraint manifolds in sequential manipulation. CoRL 2021: 213-223 - [c126]Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake:
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning. CoRL 2021: 245-255 - [c125]Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint:
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks. ICLR 2021 - [c124]Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint:
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation. ICRA 2021: 4606-4612 - [c123]Marc Toussaint, Jung-Su Ha, Ozgur S. Oguz:
Co-Optimizing Robot, Environment, and Tool Design via Joint Manipulation Planning. ICRA 2021: 6600-6606 - [c122]Andreas Orthey, Marc Toussaint:
Sparse Multilevel Roadmaps for High-Dimensional Robotic Motion Planning. ICRA 2021: 7851-7857 - [c121]Camille Phiquepal, Marc Toussaint:
Control-Tree Optimization: an approach to MPC under discrete Partial Observability. ICRA 2021: 9666-9672 - [c120]Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint:
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping. ICRA 2021: 14185-14191 - [c119]Danny Driess, Jung-Su Ha, Russ Tedrake, Marc Toussaint:
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input. ICRA 2021: 14298-14305 - [c118]Yoojin Oh, Marc Toussaint, Jim Mainprice:
Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies. IROS 2021: 5305-5311 - [c117]Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint:
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics. NeurIPS 2021: 1912-1924 - [c116]Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong:
Active Learning in Gaussian Process State Space Model. ECML/PKDD (3) 2021: 346-361 - [c115]An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice:
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks. RO-MAN 2021: 7-14 - [c114]Yoojin Oh, Tim Schäfer, Benedikt Rüther, Marc Toussaint, Jim Mainprice:
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures. RO-MAN 2021: 503-508 - [c113]Janik M. Hager, Ruben Bauer, Marc Toussaint, Jim Mainprice:
GraspME - Grasp Manifold Estimator. RO-MAN 2021: 626-632 - [c112]Andreas Orthey, Marc Toussaint:
Visualizing Local Minima in Multi-robot Motion Planning Using Multilevel Morse Theory. WAFR 2021: 502-517 - [e5]Dylan A. Shell, Marc Toussaint, M. Ani Hsieh:
Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021. 2021, ISBN 978-0-9923747-7-8 [contents] - [i63]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visualization of Nonlinear Programming for Robot Motion Planning. CoRR abs/2101.12075 (2021) - [i62]Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint:
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping. CoRR abs/2103.05401 (2021) - [i61]An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice:
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks. CoRR abs/2104.08137 (2021) - [i60]Valentin Noah Hartmann, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint:
Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly. CoRR abs/2106.02489 (2021) - [i59]Yoojin Oh, Marc Toussaint, Jim Mainprice:
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures. CoRR abs/2107.01829 (2021) - [i58]Janik M. Hager, Ruben Bauer, Marc Toussaint, Jim Mainprice:
GraspME - Grasp Manifold Estimator. CoRR abs/2107.01836 (2021) - [i57]Andreas Orthey, Florian T. Pokorny, Marc Toussaint:
Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning. CoRR abs/2107.02498 (2021) - [i56]Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint:
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks. CoRR abs/2107.06661 (2021) - [i55]Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong:
Active Learning in Gaussian Process State Space Model. CoRR abs/2108.00819 (2021) - [i54]Yoojin Oh, Marc Toussaint, Jim Mainprice:
Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies. CoRR abs/2108.10634 (2021) - [i53]Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake:
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning. CoRR abs/2110.00792 (2021) - [i52]Cornelius V. Braun, Joaquim Ortiz de Haro, Marc Toussaint, Ozgur S. Oguz:
RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning. CoRR abs/2110.03420 (2021) - [i51]Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne:
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR abs/2110.15245 (2021) - [i50]Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint:
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics. CoRR abs/2111.07908 (2021) - [i49]Jung-Su Ha, Danny Driess, Marc Toussaint:
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation. CoRR abs/2112.04812 (2021) - [i48]Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. CoRR abs/2112.06402 (2021) - 2020
- [j28]Isabell Wochner, Danny Drieß, Heiko Zimmermann, Daniel F. B. Haeufle, Marc Toussaint, Syn Schmitt:
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics. Frontiers Comput. Neurosci. 14: 38 (2020) - [j27]Andreas Orthey, Benjamin Frész, Marc Toussaint:
Motion Planning Explorer: Visualizing Local Minima Using a Local-Minima Tree. IEEE Robotics Autom. Lett. 5(2): 346-353 (2020) - [j26]Marc Toussaint, Jung-Su Ha, Danny Driess:
Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning. IEEE Robotics Autom. Lett. 5(4): 6209-6216 (2020) - [c111]Son Nguyen, Ozgur S. Oguz, Valentin N. Hartmann, Marc Toussaint:
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning. CoRL 2020: 2104-2119 - [c110]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks. ICRA 2020: 1792-1798 - [c109]Jung-Su Ha, Danny Driess, Marc Toussaint:
A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. ICRA 2020: 6745-6751 - [c108]Danny Driess, Ozgur S. Oguz, Jung-Su Ha, Marc Toussaint:
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning. ICRA 2020: 9563-9569 - [c107]Valentin N. Hartmann, Ozgur S. Oguz, Danny Driess, Marc Toussaint, Achim Menges:
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning. IROS 2020: 6886-6893 - [c106]Sabrina Hoppe, Markus Giftthaler, Robert Krug, Marc Toussaint:
Sample-Efficient Learning for Industrial Assembly using Qgraph-bounded DDPG. IROS 2020: 9080-9087 - [c105]Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
An Interior Point Method Solving Motion Planning Problems with Narrow Passages. RO-MAN 2020: 547-552 - [c104]Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint, Jim Mainprice:
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks. RO-MAN 2020: 1157-1163 - [c103]Yoojin Oh, Shao-Wen Wu, Marc Toussaint, Jim Mainprice:
Natural Gradient Shared Control. RO-MAN 2020: 1223-1229 - [c102]Danny Driess, Jung-Su Ha, Marc Toussaint:
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image. Robotics: Science and Systems 2020 - [c101]Christian Henkel, Marc Toussaint:
Optimized directed roadmap graph for multi-agent path finding using stochastic gradient descent. SAC 2020: 776-783 - [c100]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visualization of nonlinear programming for robot motion planning. VINCI 2020: 10:1-10:8 - [e4]Marc Toussaint, Antonio Bicchi, Tucker Hermans:
Robotics: Science and Systems XVI, Virtual Event / Corvalis, Oregon, USA, July 12-16, 2020. 2020, ISBN 978-0-9923747-6-1 [contents] - [d1]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning. DaRUS, 2020
- [i47]Andreas Orthey, Marc Toussaint:
Visualizing Local Minima in Multi-Robot Motion Planning using Morse Theory. CoRR abs/2002.04385 (2020) - [i46]Marc Toussaint, Jung-Su Ha, Danny Drieß:
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning. CoRR abs/2002.12780 (2020) - [i45]Jung-Su Ha, Danny Drieß, Marc Toussaint:
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. CoRR abs/2003.04259 (2020) - [i44]Valentin N. Hartmann, Ozgur S. Oguz, Danny Drieß, Marc Toussaint, Achim Menges:
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning. CoRR abs/2003.07754 (2020) - [i43]Christian Henkel, Marc Toussaint:
Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent. CoRR abs/2003.12924 (2020) - [i42]Danny Drieß, Jung-Su Ha, Marc Toussaint:
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image. CoRR abs/2006.05398 (2020) - [i41]Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
An Interior Point Method Solving Motion Planning Problems with Narrow Passages. CoRR abs/2007.04842 (2020) - [i40]Sabrina Hoppe, Marc Toussaint:
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning. CoRR abs/2007.07582 (2020) - [i39]Andreas Orthey, Sohaib Akbar, Marc Toussaint:
Multilevel Motion Planning: A Fiber Bundle Formulation. CoRR abs/2007.09435 (2020) - [i38]Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint, Jim Mainprice:
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks. CoRR abs/2007.10038 (2020) - [i37]Yoojin Oh, Shao-Wen Wu, Marc Toussaint, Jim Mainprice:
Natural Gradient Shared Control. CoRR abs/2007.15308 (2020) - [i36]Andreas Orthey, Marc Toussaint:
Section Patterns: Efficiently Solving Narrow Passage Problems using Multilevel Motion Planning. CoRR abs/2010.14524 (2020) - [i35]Andreas Orthey, Marc Toussaint:
Sparse Multilevel Roadmaps on Fiber Bundles for High-Dimensional Motion Planning. CoRR abs/2011.00832 (2020) - [i34]Marie-Therese Khoury, Andreas Orthey, Marc Toussaint:
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts. CoRR abs/2011.01552 (2020) - [i33]Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint:
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation. CoRR abs/2011.04828 (2020) - [i32]Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice:
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze. CoRR abs/2011.11552 (2020)
2010 – 2019
- 2019
- [j25]Sabrina Hoppe, Zhongyu Lou, Daniel Hennes, Marc Toussaint:
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning in Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 4(4): 4042-4047 (2019) - [c99]Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint:
Deep Workpiece Region Segmentation for Bin Picking. CASE 2019: 1138-1144 - [c98]Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel:
Trajectory-Based Off-Policy Deep Reinforcement Learning. ICML 2019: 1636-1645 - [c97]Danny Drieß, Daniel Hennes, Marc Toussaint:
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy. ICRA 2019: 7844-7850 - [c96]Camille Phiquepal, Marc Toussaint:
Combined Task and Motion Planning under Partial Observability: An Optimization-Based Approach. ICRA 2019: 9000-9006 - [c95]Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. IJCAI 2019: 6231-6235 - [c94]Danny Drieß, Syn Schmitt, Marc Toussaint:
Active Inverse Model Learning with Error and Reachable Set Estimates. IROS 2019: 1826-1833 - [c93]Christian Henkel, Jannik Abbenseth, Marc Toussaint:
An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem. IROS 2019: 4140-4146 - [c92]Andreas Orthey, Marc Toussaint:
Rapidly-Exploring Quotient-Space Trees: Motion Planning Using Sequential Simplifications. ISRR 2019: 52-68 - [i31]Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel:
Trajectory-Based Off-Policy Deep Reinforcement Learning. CoRR abs/1905.05710 (2019) - [i30]Andreas Orthey, Marc Toussaint:
Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications. CoRR abs/1906.01350 (2019) - [i29]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization. CoRR abs/1906.12279 (2019) - [i28]Yoojin Oh, Marc Toussaint, Jim Mainprice:
Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation. CoRR abs/1906.12280 (2019) - [i27]Christian Henkel, Jannik Abbenseth, Marc Toussaint:
An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem. CoRR abs/1907.10360 (2019) - [i26]Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint:
Deep Workpiece Region Segmentation for Bin Picking. CoRR abs/1909.03462 (2019) - [i25]Andreas Orthey, Benjamin Frész, Marc Toussaint:
Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree. CoRR abs/1909.05035 (2019) - [i24]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks. CoRR abs/1910.01843 (2019) - 2018
- [j24]Thibaut Munzer, Marc Toussaint, Manuel Lopes:
Efficient behavior learning in human-robot collaboration. Auton. Robots 42(5): 1103-1115 (2018) - [j23]Ruth Schulz, Philipp Kratzer, Marc Toussaint:
Preferred Interaction Styles for Human-Robot Collaboration Vary Over Tasks With Different Action Types. Frontiers Neurorobotics 12: 36 (2018) - [j22]Peter Englert, Marc Toussaint:
Learning manipulation skills from a single demonstration. Int. J. Robotics Res. 37(1): 137-154 (2018) - [c91]Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint:
Bayesian Functional Optimization. AAAI 2018: 4171-4178 - [c90]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Towards Combining Motion Optimization and Data Driven Dynamical Models for Human Motion Prediction. Humanoids 2018: 202-208 - [c89]Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Probabilistic Recurrent State-Space Models. ICML 2018: 1279-1288 - [c88]Baptiste Busch, Marc Toussaint, Manuel Lopes:
Planning Ergonomic Sequences of Actions in Human-Robot Interaction. ICRA 2018: 1916-1923 - [c87]Danny Drieß, Heiko Zimmermann, Simon Wolfen, Dan Suissa, Daniel F. B. Haeufle, Daniel Hennes, Marc Toussaint, Syn Schmitt:
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. ICRA 2018: 6461-6468 - [c86]Peter Englert, Marc Toussaint:
Kinematic Morphing Networks for Manipulation Skill Transfer. IROS 2018: 2517-2523 - [c85]Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. Robotics: Science and Systems 2018 - [i23]Peter Englert, Marc Toussaint:
Kinematic Morphing Networks for Manipulation Skill Transfer. CoRR abs/1803.01777 (2018) - 2017
- [j21]Peter Englert, Ngo Anh Vien, Marc Toussaint:
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations. Int. J. Robotics Res. 36(13-14): 1474-1488 (2017) - [c84]Christian Friedrich, Viktor Zielke, Marc Toussaint, Armin Lechler, Alexander Verl:
Environment modeling for maintenance automation-a next-best-view approach for combining space exploration and object recognition tasks. CASE 2017: 1445-1450 - [c83]Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum:
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CogSci 2017 - [c82]Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Optimizing Long-term Predictions for Model-based Policy Search. CoRL 2017: 227-238 - [c81]Ruth Schulz, Philipp Kratzer, Marc Toussaint:
Building a Bridge with a Robot: A System for Collaborative On-table Task Execution. HAI 2017: 399-403 - [c80]Manuel Baum, Matthew Bernstein, Roberto Martín-Martín, Sebastian Höfer, Johannes Kulick, Marc Toussaint, Alex Kacelnik, Oliver Brock:
Opening a lockbox through physical exploration. Humanoids 2017: 461-467 - [c79]Thibaut Munzer, Marc Toussaint, Manuel Lopes:
Preference learning on the execution of collaborative human-robot tasks. ICRA 2017: 879-885 - [c78]Danny Drieß, Peter Englert, Marc Toussaint:
Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations. ICRA 2017: 902-907 - [c77]Marc Toussaint, Manuel Lopes:
Multi-bound tree search for logic-geometric programming in cooperative manipulation domains. ICRA 2017: 4044-4051 - [c76]Danny Drieß, Peter Englert, Marc Toussaint:
Active learning with query paths for tactile object shape exploration. IROS 2017: 65-72 - [c75]Jonas Langhabel, Robert Lieck, Marc Toussaint, Martin Rohrmeier:
Feature Discovery for Sequential Prediction of Monophonic Music. ISMIR 2017: 649-656 - [p5]Marc Toussaint:
A Tutorial on Newton Methods for Constrained Trajectory Optimization and Relations to SLAM, Gaussian Process Smoothing, Optimal Control, and Probabilistic Inference. Geometric and Numerical Foundations of Movements 2017: 361-392 - [i22]Andrea Baisero, Stefan Otte, Peter Englert, Marc Toussaint:
Identification of Unmodeled Objects from Symbolic Descriptions. CoRR abs/1701.06450 (2017) - [i21]Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum:
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CoRR abs/1707.08212 (2017) - 2016
- [j20]Jens Schreiter, Duy Nguyen-Tuong, Marc Toussaint:
Efficient sparsification for Gaussian process regression. Neurocomputing 192: 29-37 (2016) - [j19]Robert Lieck, Marc Toussaint:
Temporally extended features in model-based reinforcement learning with partial observability. Neurocomputing 192: 49-60 (2016) - [c74]Marc Toussaint, Thibaut Munzer, Yoan Mollard, Li Yang Wu, Ngo Anh Vien, Manuel Lopes:
Relational activity processes for modeling concurrent cooperation. ICRA 2016: 5505-5511 - [c73]Ngo Anh Vien, Peter Englert, Marc Toussaint:
Policy Search in Reproducing Kernel Hilbert Space. IJCAI 2016: 2089-2096 - [c72]Peter Englert, Marc Toussaint:
Combined Optimization and Reinforcement Learning for Manipulation Skills. Robotics: Science and Systems 2016 - [p4]Oliver Brock, Jaeheung Park, Marc Toussaint:
Mobility and Manipulation. Springer Handbook of Robotics, 2nd Ed. 2016: 1007-1036 - [i20]Nathan D. Ratliff, Marc Toussaint, Jeannette Bohg, Stefan Schaal:
On the Fundamental Importance of Gauss-Newton in Motion Optimization. CoRR abs/1605.09296 (2016) - [i19]Kim Peter Wabersich, Marc Toussaint:
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down. CoRR abs/1612.03117 (2016) - 2015
- [j18]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint:
Probabilistic Inference Techniques for Scalable Multiagent Decision Making. J. Artif. Intell. Res. 53: 223-270 (2015) - [j17]Barbara Hammer, Marc Toussaint:
Special Issue on Autonomous Learning. Künstliche Intell. 29(4): 323-327 (2015) - [j16]Marc Toussaint, Helge J. Ritter, Oliver Brock:
The Optimization Route to Robotics - and Alternatives. Künstliche Intell. 29(4): 379-388 (2015) - [c71]Ngo Anh Vien, Marc Toussaint:
Hierarchical Monte-Carlo Planning. AAAI 2015: 3613-3619 - [c70]Robert Lieck, Marc Toussaint:
Discovering temporally extended features for reinforcement learning in domains with delayed causalities. ESANN 2015 - [c69]Jens Schreiter, Duy Nguyen-Tuong, Heiner Markert, Michael Hanselmann, Marc Toussaint:
Fast greedy insertion and deletion in sparse Gaussian process regression. ESANN 2015 - [c68]Ngo Anh Vien, Marc Toussaint:
Touch based POMDP manipulation via sequential submodular optimization. Humanoids 2015: 407-413 - [c67]Jens Schreiter, Peter Englert, Duy Nguyen-Tuong, Marc Toussaint:
Sparse Gaussian process regression for compliant, real-time robot control. ICRA 2015: 2586-2591 - [c66]Johannes Kulick, Stefan Otte, Marc Toussaint:
Active exploration of joint dependency structures. ICRA 2015: 2598-2604 - [c65]Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
Understanding the geometry of workspace obstacles in Motion Optimization. ICRA 2015: 4202-4209 - [c64]Marc Toussaint:
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning. IJCAI 2015: 1930-1936 - [c63]Ngo Anh Vien, Marc Toussaint:
POMDP manipulation via trajectory optimization. IROS 2015: 242-249 - [c62]Andrea Baisero, Yoan Mollard, Manuel Lopes, Marc Toussaint, Ingo Lütkebohle:
Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations. IROS 2015: 478-484 - [c61]Yoan Mollard, Thibaut Munzer, Andrea Baisero, Marc Toussaint, Manuel Lopes:
Robot programming from demonstration, feedback and transfer. IROS 2015: 1825-1831 - [c60]Kim Peter Wabersich, Marc Toussaint:
Automatic testing and minimax optimization of system parameters for best worst-case performance. IROS 2015: 5533-5539 - [c59]Peter Englert, Marc Toussaint:
Inverse KKT - Learning Cost Functions of Manipulation Tasks from Demonstrations. ISRR (2) 2015: 57-72 - [c58]Konrad Rawlik, Dmitry Zarubin, Marc Toussaint, Sethu Vijayakumar:
An Approximate Inference Approach to Temporal Optimization for Robotics. ISRR (2) 2015: 145-162 - [c57]Jens Schreiter, Duy Nguyen-Tuong, Mona Eberts, Bastian Bischoff, Heiner Markert, Marc Toussaint:
Safe Exploration for Active Learning with Gaussian Processes. ECML/PKDD (3) 2015: 133-149 - [c56]Andreas Doerr, Nathan D. Ratliff, Jeannette Bohg, Marc Toussaint, Stefan Schaal:
Direct Loss Minimization Inverse Optimal Control. Robotics: Science and Systems 2015 - 2014
- [j15]Nikolay Jetchev, Marc Toussaint:
Discovering relevant task spaces using inverse feedback control. Auton. Robots 37(2): 169-189 (2014) - [c55]Ngo Anh Vien, Marc Toussaint:
Model-Based Relational RL When Object Existence is Partially Observable. ICML 2014: 559-567 - [c54]Marc Toussaint, Nathan D. Ratliff, Jeannette Bohg, Ludovic Righetti, Peter Englert, Stefan Schaal:
Dual execution of optimized contact interaction trajectories. IROS 2014: 47-54 - [c53]Peter Englert, Marc Toussaint:
Reactive phase and task space adaptation for robust motion execution. IROS 2014: 109-116 - [c52]Stefan Otte, Johannes Kulick, Marc Toussaint, Oliver Brock:
Entropy-based strategies for physical exploration of the environment's degrees of freedom. IROS 2014: 615-622 - [p3]Marc Toussaint:
The Bayesian Search Game. Theory and Principled Methods for the Design of Metaheuristics 2014: 129-144 - [i18]Tobias Lang, Marc Toussaint:
Planning with Noisy Probabilistic Relational Rules. CoRR abs/1401.3860 (2014) - [i17]Marc Toussaint:
Newton methods for k-order Markov Constrained Motion Problems. CoRR abs/1407.0414 (2014) - [i16]Johannes Kulick, Robert Lieck, Marc Toussaint:
Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection. CoRR abs/1409.7552 (2014) - 2013
- [j14]Nikolay Jetchev, Marc Toussaint:
Fast motion planning from experience: trajectory prediction for speeding up movement generation. Auton. Robots 34(1-2): 111-127 (2013) - [j13]Marc Toussaint, Tobias Lang, Nikolay Jetchev:
Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen. Autom. 61(4): 259-268 (2013) - [j12]Vladimir Ivan, Dmitry Zarubin, Marc Toussaint, Taku Komura, Sethu Vijayakumar:
Topology-based representations for motion planning and generalization in dynamic environments with interactions. Int. J. Robotics Res. 32(9-10): 1151-1163 (2013) - [c51]Ngo Anh Vien, Marc Toussaint:
Reasoning with Uncertainties Over Existence of Objects. AAAI Fall Symposia 2013 - [c50]Stanimir Dragiev, Marc Toussaint, Michael Gienger:
Uncertainty aware grasping and tactile exploration. ICRA 2013: 113-119 - [c49]Andreas Orthey, Marc Toussaint, Nikolay Jetchev:
Optimizing motion primitives to make symbolic models more predictive. ICRA 2013: 2868-2873 - [c48]Johannes Kulick, Marc Toussaint, Tobias Lang, Manuel Lopes:
Active Learning for Teaching a Robot Grounded Relational Symbols. IJCAI 2013: 1451-1457 - [c47]Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar:
Path Integral Control by Reproducing Kernel Hilbert Space Embedding. IJCAI 2013: 1628-1634 - [c46]Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar:
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract). IJCAI 2013: 3052-3056 - [c45]Dmitry Zarubin, Florian T. Pokorny, Marc Toussaint, Danica Kragic:
Caging complex objects with geodesic balls. IROS 2013: 2999-3006 - 2012
- [j11]Elmar A. Rückert, Gerhard Neumann, Marc Toussaint, Wolfgang Maass:
Learned graphical models for probabilistic planning provide a new class of movement primitives. Frontiers Comput. Neurosci. 6: 97 (2012) - [j10]Tobias Lang, Marc Toussaint, Kristian Kersting:
Exploration in relational domains for model-based reinforcement learning. J. Mach. Learn. Res. 13: 3725-3768 (2012) - [c44]Claude Toussaint, Marc Toussaint, Stefan Ulrich:
HUX - Measuring Holistic User Experience. UP 2012: 90-94 - [c43]Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer:
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress. NIPS 2012: 206-214 - [c42]Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar:
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference. Robotics: Science and Systems 2012 - [c41]Dmitry Zarubin, Vladimir Ivan, Marc Toussaint, Taku Komura, Sethu Vijayakumar:
Hierarchical Motion Planning in Topological Representations. Robotics: Science and Systems 2012 - [c40]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint:
Message-Passing Algorithms for MAP Estimation Using DC Programming. AISTATS 2012: 656-664 - [e3]Kristian Kersting, Marc Toussaint:
STAIRS 2012 - Proceedings of the Sixth Starting AI Researchers' Symposium, Montpellier, France, 27-28 August 2012. Frontiers in Artificial Intelligence and Applications 241, IOS Press 2012, ISBN 978-1-61499-095-6 [contents] - [i15]Marc Toussaint, Laurent Charlin, Pascal Poupart:
Hierarchical POMDP Controller Optimization by Likelihood Maximization. CoRR abs/1206.3291 (2012) - [i14]Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar:
Path Integral Control by Reproducing Kernel Hilbert Space Embedding. CoRR abs/1208.2523 (2012) - 2011
- [c39]Pascal Poupart, Tobias Lang, Marc Toussaint:
Escaping local optima in POMDP planning as inference. AAMAS 2011: 1263-1264 - [c38]Nikolay Jetchev, Marc Toussaint:
Task Space Retrieval Using Inverse Feedback Control. ICML 2011: 449-456 - [c37]Stanimir Dragiev, Marc Toussaint, Michael Gienger:
Gaussian process implicit surfaces for shape estimation and grasping. ICRA 2011: 2845-2850 - [c36]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint:
Scalable Multiagent Planning Using Probabilistic Inference. IJCAI 2011: 2140-2146 - [c35]Pascal Poupart, Tobias Lang, Marc Toussaint:
Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains. ECML/PKDD (2) 2011: 613-628 - 2010
- [j9]Tobias Lang, Marc Toussaint:
Planning with Noisy Probabilistic Relational Rules. J. Artif. Intell. Res. 39: 1-49 (2010) - [c34]Tobias Lang, Marc Toussaint:
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds. ICML 2010: 583-590 - [c33]Marc Toussaint, Nils Plath, Tobias Lang, Nikolay Jetchev:
Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference. ICRA 2010: 385-391 - [c32]Nikolay Jetchev, Marc Toussaint:
Trajectory prediction in cluttered voxel environments. ICRA 2010: 2523-2528 - [c31]Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar:
An Approximate Inference Approach to Temporal Optimization in Optimal Control. NIPS 2010: 2011-2019 - [c30]Tobias Lang, Marc Toussaint, Kristian Kersting:
Exploration in Relational Worlds. ECML/PKDD (2) 2010: 178-194 - [p2]Marc Toussaint, Christian Goerick:
A Bayesian View on Motor Control and Planning. From Motor Learning to Interaction Learning in Robots 2010: 227-252 - [e2]Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint:
Learning paradigms in dynamic environments, 25.07. - 30.07.2010. Dagstuhl Seminar Proceedings 10302, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2010 [contents] - [i13]Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint:
10302 Abstracts Collection - Learning paradigms in dynamic environments. Learning paradigms in dynamic environments 2010 - [i12]Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint:
10302 Summary - Learning paradigms in dynamic environments. Learning paradigms in dynamic environments 2010 - [i11]Marc Toussaint:
Why deterministic logic is hard to learn but Statistical Relational Learning works. Learning paradigms in dynamic environments 2010 - [i10]Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar:
Approximate Inference and Stochastic Optimal Control. CoRR abs/1009.3958 (2010)
2000 – 2009
- 2009
- [j8]Nikos Vlassis, Marc Toussaint, Georgios Kontes, Savas Piperidis:
Learning model-free robot control by a Monte Carlo EM algorithm. Auton. Robots 27(2): 123-130 (2009) - [j7]Marc Toussaint:
Probabilistic inference as a model of planned behavior. Künstliche Intell. 23(3): 23-29 (2009) - [c29]Nikolay Jetchev, Marc Toussaint:
Trajectory prediction: learning to map situations to robot trajectories. ICML 2009: 449-456 - [c28]Tobias Lang, Marc Toussaint:
Approximate inference for planning in stochastic relational worlds. ICML 2009: 585-592 - [c27]Nils Plath, Marc Toussaint, Shinichi Nakajima:
Multi-class image segmentation using conditional random fields and global classification. ICML 2009: 817-824 - [c26]Marc Toussaint:
Robot trajectory optimization using approximate inference. ICML 2009: 1049-1056 - [c25]Nikos Vlassis, Marc Toussaint:
Model-free reinforcement learning as mixture learning. ICML 2009: 1081-1088 - [c24]Tobias Lang, Marc Toussaint:
Relevance Grounding for Planning in Relational Domains. ECML/PKDD (1) 2009: 736-751 - [p1]Sethu Vijayakumar, Marc Toussaint, Georgios Petkos, Matthew Howard:
Planning and Moving in Dynamic Environments. Creating Brain-Like Intelligence 2009: 151-191 - 2008
- [c23]Michael Gienger, Marc Toussaint, Nikolay Jetchev, Achim Bendig, Christian Goerick:
Optimization of fluent approach and grasp motions. Humanoids 2008: 111-117 - [c22]Volker Willert, Julian Eggert, Marc Toussaint, Edgar Körner:
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint. ICMLA 2008: 259-266 - [c21]Michael Gienger, Marc Toussaint, Christian Goerick:
Task maps in humanoid robot manipulation. IROS 2008: 2758-2764 - [c20]Marc Toussaint, Laurent Charlin, Pascal Poupart:
Hierarchical POMDP Controller Optimization by Likelihood Maximization. UAI 2008: 562-570 - 2007
- [j6]Marc Toussaint, Werner von Seelen:
Complex adaptation and system structure. Biosyst. 90(3): 769-782 (2007) - [c19]Marc Toussaint:
Motion Segmentation Using Inference in Dynamic Bayesian Networks. BMVC 2007: 1-10 - [c18]Marc Toussaint, Michael Gienger, Christian Goerick:
Optimization of sequential attractor-based movement for compact behaviour generation. Humanoids 2007: 122-129 - [c17]Volker Willert, Marc Toussaint, Julian Eggert, Edgar Körner:
Uncertainty optimization for robust dynamic optical flow estimation. ICMLA 2007: 450-457 - [c16]Ben H. Williams, Marc Toussaint, Amos J. Storkey:
A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data. IJCAI 2007: 1119-1124 - [c15]Marc Toussaint, Christian Goerick:
Probabilistic inference for structured planning in robotics. IROS 2007: 3068-3073 - [c14]Ben H. Williams, Marc Toussaint, Amos J. Storkey:
Modelling motion primitives and their timing in biologically executed movements. NIPS 2007: 1609-1616 - [e1]Christopher R. Stephens, Marc Toussaint, L. Darrell Whitley, Peter F. Stadler:
Foundations of Genetic Algorithms, 9th International Workshop, FOGA 2007, Mexico City, Mexico, January 8-11, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4436, Springer 2007, ISBN 978-3-540-73479-6 [contents] - 2006
- [j5]Marc Toussaint:
A Sensorimotor Map: Modulating Lateral Interactions for Anticipation and Planning. Neural Comput. 18(5): 1132-1155 (2006) - [j4]Marc Toussaint:
Compact representations as a search strategy: Compression EDAs. Theor. Comput. Sci. 361(1): 57-71 (2006) - [c13]Felix V. Agakov, Edwin V. Bonilla, John Cavazos, Björn Franke, Grigori Fursin, Michael F. P. O'Boyle, John Thomson, Marc Toussaint, Christopher K. I. Williams:
Using Machine Learning to Focus Iterative Optimization. CGO 2006: 295-305 - [c12]Ben H. Williams, Marc Toussaint, Amos J. Storkey:
Extracting Motion Primitives from Natural Handwriting Data. ICANN (2) 2006: 634-643 - [c11]Georgios Petkos, Marc Toussaint, Sethu Vijayakumar:
Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts. ICANN (1) 2006: 898-907 - [c10]Marc Toussaint, Amos J. Storkey:
Probabilistic inference for solving discrete and continuous state Markov Decision Processes. ICML 2006: 945-952 - 2005
- [c9]Marc Toussaint:
Compact Genetic Codes as a Search Strategy of Evolutionary Processes. FOGA 2005: 75-94 - [c8]Marc Toussaint:
Factorial representations to generate arbitrary search distributions. GECCO Workshops 2005: 339-345 - [c7]Marc Toussaint, Sethu Vijayakumar:
Learning discontinuities with products-of-sigmoids for switching between local models. ICML 2005: 904-911 - [c6]Marc Toussaint, Sethu Vijayakumar:
Learning discontinuities for switching between local models. IJCAI 2005: 1744-1745 - 2004
- [j3]Christian Igel, Marc Toussaint:
A No-Free-Lunch theorem for non-uniform distributions of target functions. J. Math. Model. Algorithms 3(4): 313-322 (2004) - [i9]Marc Toussaint:
Notes on information geometry and evolutionary processes. CoRR nlin.AO/0408040 (2004) - 2003
- [j2]Christian Igel, Marc Toussaint:
On classes of functions for which No Free Lunch results hold. Inf. Process. Lett. 86(6): 317-321 (2003) - [j1]Christian Igel, Marc Toussaint:
Neutrality and self-adaptation. Nat. Comput. 2(2): 117-132 (2003) - [c5]Marc Toussaint:
Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants. GECCO 2003: 86-97 - [c4]Marc Toussaint:
The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms. GECCO 2003: 1444-1456 - [c3]Marc Toussaint:
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System. NIPS 2003: 926-936 - [i8]Christian Igel, Marc Toussaint:
Recent Results on No-Free-Lunch Theorems for Optimization. CoRR cs.NE/0303032 (2003) - 2002
- [c2]Marc Toussaint, Christian Igel:
Neutrality: a necessity for self-adaptation. IEEE Congress on Evolutionary Computation 2002: 1354-1359 - [c1]Marc Toussaint:
On the Evolution of Phenotypic Exploration Distributions. FOGA 2002: 169-182 - [i7]Marc Toussaint:
On model selection and the disability of neural networks to decompose tasks. CoRR nlin.AO/0202038 (2002) - [i6]Marc Toussaint:
A neural model for multi-expert architectures. CoRR nlin.AO/0202039 (2002) - [i5]Marc Toussaint, Christian Igel:
Neutrality: A Necessity for Self-Adaptation. CoRR nlin.AO/0204038 (2002) - [i4]Marc Toussaint:
The structure of evolutionary exploration: On crossover, buildings blocks and Estimation-Of-Distribution Algorithms. CoRR nlin.AO/0212030 (2002) - 2001
- [i3]Christian Igel, Marc Toussaint:
On Classes of Functions for which No Free Lunch Results Hold. CoRR cs.NE/0108011 (2001) - [i2]Marc Toussaint:
Lectures on Reduce and Maple at UAM I - Mexico. CoRR cs.SC/0105033 (2001) - [i1]Marc Toussaint:
Self-adaptive exploration in evolutionary search. CoRR physics/0102009 (2001)
Coauthor Index
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