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Animesh Garg
Assistant Professor
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Bio
I develop algorithmic methods to enable efficient robot learning for long-term sequential tasks through
Generalizable Autonomy. The principal focus of my research is to understand representations and
algorithms to enable the efficiency and generality of learning for interaction in autonomous agents My
research spans Robotics, Reinforcement Learning, Computer Vision and Optimal Control. I work on
applications of intelligent manipulation in surgical, personal and warehouse robotics.
Generalizable Autonomy. The principal focus of my research is to understand representations and
algorithms to enable the efficiency and generality of learning for interaction in autonomous agents My
research spans Robotics, Reinforcement Learning, Computer Vision and Optimal Control. I work on
applications of intelligent manipulation in surgical, personal and warehouse robotics.
Papers51 papers
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Lee Michelle A., Florensa Carlos,Tremblay Jonathan,Ratliff Nathan,Garg Animesh, Ramos Fabio,Fox Dieter
ICRA, pp.7505-7512, (2020)
Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots,Animashree Anandkumar,Yuke Zhu, Buck Babich,Animesh Garg
UAI, pp.1378-1387, (2020)
Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne,Animesh Garg, Roberto Martín-Martín,Silvio Savarese
NeurIPS, (2020)
CoRL, pp.717-734, (2019)
Huang De-An, Chao Yu-Wei, Paxton Chris, Deng Xinke,Fei-Fei Li, Niebles Juan Carlos,Garg Animesh,Fox Dieter
ICRA, pp.4878-4884, (2019)
CoRL, pp.42-52, (2019)
ICRA, pp.378-384, (2019)
Lee Michelle A.,Zhu Yuke, Zachares Peter, Tan Matthew, Srinivasan Krishnan,Savarese Silvio,Fei-Fei Li,Garg Animesh,Bohg Jeannette
IEEE Transactions on Robotics, no. 3 (2019): 582-596
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner,Silvio Savarese,Jeannette Bohg,Animesh Garg
IROS, (2019): 1010-1017
Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta,Yuke Zhu,Animesh Garg,Silvio Savarese,Fei-Fei Li
IROS, pp.1048-1055, (2019)
IROS, pp.2635-2642, (2019)
Michael Danielczuk, Andrey Kurenkov,Ashwin Balakrishna, Matthew Matl, David Wang, Roberto Martín-Martín,Animesh Garg,Silvio Savarese,Ken Goldberg
ICRA, (2019): 1614-1621
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