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ORCIDArvind U. Raghunathan
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2020 – today
- 2024
[j16]Arvind U. Raghunathan, David Bergman
, John N. Hooker, Thiago Serra, Shingo Kobori:
Seamless Multimodal Transportation Scheduling. INFORMS J. Comput. 36(2): 336-358 (2024)- [j15]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan:
Robust Pivoting Manipulation Using Contact Implicit Bilevel Optimization. IEEE Trans. Robotics 40: 3425-3444 (2024) - [c35]Siddharth Nayak, Marcus Greiff, Arvind U. Raghunathan, Stefano Di Cairano, Abraham P. Vinod:
Data-Driven Monitoring with Mobile Sensors and Charging Stations Using Multi-Arm Bandits and Coordinated Motion Planners. ACC 2024: 299-305 - [c34]Jonas Hall, Arvind U. Raghunathan:
Structural Exploitation for the Homogeneous Reformulation of Model Predictive Control Problems. ECC 2024: 3171-3178 - [i23]Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser:
Simultaneous Trajectory Optimization and Contact Selection for Contact-rich Manipulation with High-Fidelity Geometry. CoRR abs/2407.16976 (2024) - [i22]Carlos Henrique Cardonha, Arvind U. Raghunathan:
Coach Reservation for Groups Requests. CoRR abs/2410.23542 (2024) - 2023
- [c33]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Chance-Constrained Optimization in Contact-rich Systems. ACC 2023: 14-21 - [c32]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan:
Covariance Steering for Uncertain Contact-rich Systems. ICRA 2023: 7923-7929 - [c31]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong:
Tactile Tool Manipulation. ICRA 2023: 12597-12603 - [c30]Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski:
Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS 2023: 3672-3679 - [c29]Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser:
Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. Robotics: Science and Systems 2023 - [i21]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong:
Tactile Tool Manipulation. CoRR abs/2301.06698 (2023) - [i20]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan:
Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization. CoRR abs/2303.08965 (2023) - [i19]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan:
Covariance Steering for Uncertain Contact-rich Systems. CoRR abs/2303.13382 (2023) - [i18]Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser:
Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. CoRR abs/2306.06465 (2023) - 2022
- [j14]Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman:
Template-Based Minor Embedding for Adiabatic Quantum Optimization. INFORMS J. Comput. 34(1): 427-439 (2022) - [j13]David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan:
JANOS: An Integrated Predictive and Prescriptive Modeling Framework. INFORMS J. Comput. 34(2): 807-816 (2022) - [j12]Carlos J. Nohra, Arvind U. Raghunathan, Nikolaos V. Sahinidis:
SDP-quality bounds via convex quadratic relaxations for global optimization of mixed-integer quadratic programs. Math. Program. 196(1): 203-233 (2022) - [j11]Ankush Chakrabarty, Claus Danielson, Stefano Di Cairano, Arvind U. Raghunathan:
Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics. IEEE Trans. Cybern. 52(4): 2531-2542 (2022) - [c28]Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres:
Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. CDC 2022: 7571-7578 - [c27]Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski:
Transformer Networks for Predictive Group Elevator Control. ECC 2022: 1429-1435 - [c26]Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres:
PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. ICRA 2022: 985-991 - [c25]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. ICRA 2022: 992-998 - [i17]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. CoRR abs/2203.02616 (2022) - [i16]Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres:
PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. CoRR abs/2203.10013 (2022) - [i15]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. CoRR abs/2203.11412 (2022) - [i14]Arvind U. Raghunathan, Carlos Cardonha, David Bergman, Carlos J. Nohra:
Recursive McCormick Linearization of Multilinear Programs. CoRR abs/2207.08955 (2022) - [i13]Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski:
Transformer Networks for Predictive Group Elevator Control. CoRR abs/2208.08948 (2022) - [i12]Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski:
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR abs/2209.14461 (2022) - 2021
- [j10]Carlos J. Nohra, Arvind U. Raghunathan, Nikolaos V. Sahinidis:
Spectral Relaxations and Branching Strategies for Global Optimization of Mixed-Integer Quadratic Programs. SIAM J. Optim. 31(1): 142-171 (2021) - [c24]Arvind U. Raghunathan:
Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection. CDC 2021: 968-973 - [i11]Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres:
PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. CoRR abs/2106.03220 (2021) - 2020
- [c23]Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski:
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA 2020: 5094-5100 - [i10]Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski:
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR abs/2001.08092 (2020)
2010 – 2019
- 2019
- [j9]David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan:
On the Minimum Chordal Completion Polytope. Oper. Res. 67(2): 532-547 (2019) - [c22]Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Quasi-Newton Trust Region Policy Optimization. CoRL 2019: 945-954 - [c21]Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis:
Heat Exchanger Circuitry Design by Decision Diagrams. CPAIOR 2019: 461-471 - [c20]Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori:
Last-Mile Scheduling Under Uncertainty. CPAIOR 2019: 519-528 - [c19]Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha:
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. ICML 2019: 5291-5300 - [i9]Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha:
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. CoRR abs/1905.05927 (2019) - [i8]Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman:
Template-based Minor Embedding for Adiabatic Quantum Optimization. CoRR abs/1910.02179 (2019) - [i7]David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan:
JANOS: An Integrated Predictive and Prescriptive Modeling Framework. CoRR abs/1911.09461 (2019) - [i6]Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Quasi-Newton Trust Region Policy Optimization. CoRR abs/1912.11912 (2019) - 2018
- [j8]Arvind U. Raghunathan, Lorenz T. Biegler:
LDLT Direction Interior Point Method for Semidefinite Programming. SIAM J. Optim. 28(1): 693-734 (2018) - [c18]Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori:
The Integrated Last-Mile Transportation Problem (ILMTP). ICAPS 2018: 388-398 - [c17]Ankush Chakrabarty, Arvind U. Raghunathan, Stefano Di Cairano, Claus Danielson:
Data-Driven Estimation of Backward Reachable and Invariant Sets for Unmodeled Systems via Active Learning. CDC 2018: 372-377 - 2017
- [j7]Frank E. Curtis, Arvind U. Raghunathan:
Solving nearly-separable quadratic optimization problems as nonsmooth equations. Comput. Optim. Appl. 67(2): 317-360 (2017) - [c16]Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski:
Submodular Function Maximization for Group Elevator Scheduling. ICAPS 2017: 233-241 - [c15]Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya:
Transfer operator-based approach for optimal stabilization of stochastic systems. ACC 2017: 1759-1764 - [i5]Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya:
Transfer Operator Based Approach for Optimal Stabilization of Stochastic System. CoRR abs/1702.03481 (2017) - [i4]Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis:
Optimization of circuitry arrangements for heat exchangers using derivative-free optimization. CoRR abs/1705.10437 (2017) - [i3]Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski:
Submodular Function Maximization for Group Elevator Scheduling. CoRR abs/1707.00617 (2017) - 2016
- [c14]Arvind U. Raghunathan, Andrew V. Knyazev:
Degeneracy in maximal clique decomposition for Semidefinite Programs. ACC 2016: 5605-5611 - [i2]David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan:
On the Minimum Chordal Completion Polytope. CoRR abs/1612.01966 (2016) - 2015
- [c13]Jia Kang, Arvind U. Raghunathan, Stefano Di Cairano:
Decomposition via ADMM for scenario-based Model Predictive Control. ACC 2015: 1246-1251 - [c12]David Bergman, Arvind U. Raghunathan:
A Benders Approach to the Minimum Chordal Completion Problem. CPAIOR 2015: 47-64 - [c11]Jie Liu, Mouhacine Benosman, Arvind U. Raghunathan:
Consensus-based distributed optimal power flow algorithm. ISGT 2015: 1-5 - 2014
- [j6]Arvind U. Raghunathan, Umesh Vaidya:
Optimal Stabilization Using Lyapunov Measures. IEEE Trans. Autom. Control. 59(5): 1316-1321 (2014) - [c10]Arvind U. Raghunathan, Stefano Di Cairano:
Alternating direction method of multipliers for strictly convex quadratic programs: Optimal parameter selection. ACC 2014: 4324-4329 - [c9]Arvind U. Raghunathan, Stefano Di Cairano:
Infeasibility detection in alternating direction method of multipliers for convex quadratic programs. CDC 2014: 5819-5824 - [i1]Arvind U. Raghunathan, Umesh Vaidya:
Optimal Stabilization using Lyapunov Measures. CoRR abs/1408.6917 (2014) - 2013
- [j5]Arvind U. Raghunathan:
Global Optimization of Nonlinear Network Design. SIAM J. Optim. 23(1): 268-295 (2013) - [c8]Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler:
Global optimization of multi-period optimal power flow. ACC 2013: 1157-1164 - [c7]Lijie Bai, Arvind U. Raghunathan:
Semismooth equation approach to Network Utility Maximization (NUM). ACC 2013: 4795-4801 - 2012
- [c6]Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler:
Global optimization of Optimal Power Flow using a branch & bound algorithm. Allerton Conference 2012: 609-616 - [c5]Arvind U. Raghunathan, Sudha Krishnamurthy:
A distributed anytime algorithm for maximizing occupant comfort. ACC 2012: 1059-1066
2000 – 2009
- 2009
- [c4]Umesh Vaidya, Baskar Ganapathysubramanian, Arvind U. Raghunathan:
Transfer operator method for control in fluid flows. CDC 2009: 1806-1811 - 2008
- [c3]Arvind U. Raghunathan, Umesh Vaidya:
Optimal stabilization using Lyapunov measure. ACC 2008: 1746-1751 - [c2]Amit Diwadkar, Umesh Vaidya, Arvind U. Raghunathan:
Lyapunov measure and control of periodic orbit. EIT 2008: 48-53 - 2006
- [j4]Arvind U. Raghunathan, José Ricardo Pérez-Correa, Eduardo Agosin, Lorenz T. Biegler:
Parameter estimation in metabolic flux balance models for batch fermentation - Formulation & Solution using Differential Variational Inequalities (DVIs). Ann. Oper. Res. 148(1): 251-270 (2006) - [c1]Francesco Borrelli, Dharmashankar Subramanian, Arvind U. Raghunathan, Lorenz T. Biegler:
MILP and NLP Techniques for centralized trajectory planning of multiple unmanned air vehicles. ACC 2006: 1-6 - 2005
- [j3]Arvind U. Raghunathan, Lorenz T. Biegler:
An Interior Point Method for Mathematical Programs with Complementarity Constraints (MPCCs). SIAM J. Optim. 15(3): 720-750 (2005) - 2004
- [j2]Arvind U. Raghunathan, María Soledad Díaz, Lorenz T. Biegler:
An MPEC formulation for dynamic optimization of distillation operations. Comput. Chem. Eng. 28(10): 2037-2052 (2004) - 2003
- [j1]Arvind U. Raghunathan, Lorenz T. Biegler:
Mathematical programs with equilibrium constraints (MPECs) in process engineering. Comput. Chem. Eng. 27(10): 1381-1392 (2003)
Coauthor Index
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