Abstract
The creation of a robot chef represents a grand challenge for the field of robotics. Cooking is one of the most important activities that takes place in the home, and a robotic chef capable of following arbitrary recipes would have many applications in both household and industrial environments. The kitchen environment is a semi-structured proving ground for algorithms in robotics. It provides many computational challenges, such as accurately perceiving ingredients in cluttered environments, manipulating objects, and engaging in complex activities such as mixing and chopping.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Barry, J., Bollini, M., Liu, H.: End effector Cartesian controller (2012), http://www.ros.org/wiki/ee_cart_imped
Beetz, M., Klank, U., Kresse, I., Maldonado, A., Mösenlechner, L., Pangercic, D., Rühr, T., Tenorth, M.: Robotic roommates making pancakes. In: IEEE-RAS International Conference on Humanoid Robots (2011)
Berger, A.L., Della Pietra, S.A., Della Pietra, V.J.: A maximum entropy approach to natural language processing. Computational Linguistics 22, 39–71 (1996)
Bollini, M.: Following recipes with a cooking robot. Master’s thesis, MIT (2012)
Bollini, M., Barry, J., Rus, D.: Bakebot: Baking cookies with the PR2. In: International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal (October 2012) (in submission)
Chen, D.L., Mooney, R.J.: Learning to interpret natural language navigation instructions from observations. In: Proc. AAAI (2011)
De la Torre Frade, F., Hodgins, J.K., Bargteil, A.W., Artal, X.M., Macey, J.C., Castells, A.C.I., Beltran, J.: Guide to the Carnegie Mellon University multimodal activity (CMU-MMAC) database. Technical Report CMU-RI-TR-08-22, Robotics Institute, Pittsburgh, PA (April 2008)
Hoffmann, J., Nebel, B.: The FF planning system: Fast plan generation through heuristic search  14, 253–302 (2001)
Kollar, T., Tellex, S., Roy, D., Roy, N.: Toward understanding natural language directions. In: Proc. ACM/IEEE Int’l. Conf. on Human-Robot Interaction (HRI), pp. 259–266 (2010)
Matuszek, C., Fox, D., Koscher, K.: Following directions using statistical machine translation. In: Proc. ACM/IEEE Int’l. Conf. on Human-Robot Interaction (HRI), pp. 251–258 (2010)
Rusu, R.B., Sucan, I.A., Gerkey, B., Chitta, S., Beetz, M., Kavraki, L.E.: Real-time perception-guided motion planning for a personal robot. In: Intelligent Robots and Systems, pp. 4245–4252. IEEE (2009)
Tellex, S., Kollar, T., Dickerson, S., Walter, M.R., Banerjee, A.G., Teller, S., Roy, N.: Approaching the symbol grounding problem with probabilistic graphical models. AI Magazine 32(4), 64–76 (2011)
von Starkloff Rombauer, I., Becker, M.R., Becker, E., Guarnaschelli, M.: Joy of Cooking. Scribner Book Company (1997)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Bollini, M., Tellex, S., Thompson, T., Roy, N., Rus, D. (2013). Interpreting and Executing Recipes with a Cooking Robot. In: Desai, J., Dudek, G., Khatib, O., Kumar, V. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 88. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00065-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-00065-7_33
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00064-0
Online ISBN: 978-3-319-00065-7
eBook Packages: EngineeringEngineering (R0)