Interpreting and Executing Recipes with a Cooking Robot
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bollini12.pdf
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3.17 MB
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Checksum (MD5)
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Author(s)
Bollini, Mario A
Tellex, Stefanie A
Thompson, Tyler C.
Roy, Nicholas
Rus, Daniela L
Date Issued
2013
Journal
Experimental Robotics
Publisher
Springer Nature
Citation
Bollini, Mario et al. “Interpreting and Executing Recipes with a Cooking Robot.” edited by Desai J., Dudek G., Khatib, O. and V. Kumar. Experimental Robotics 88 (2013): 481–495 © Springer International Publishing Switzerland 2013
Version
Author's final manuscript
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. Keywords:
Reward Function; Statistical Machine Translation; Human Partner; Motion Primitive; Primitive Action
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/978-3-319-00065-7_33
