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Roberto Calandra
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Research interests
My scientific interests focus at the conjunction of Machine Learning and Robotics, in what is know as Robot Learning. Some of the research topics that I am currently developing include: Deep Reinforcement Learning, Model-based RL, Tactile Sensing, Dynamics Modeling, and Bayesian Optimization.
My scientific interests focus at the conjunction of Machine Learning and Robotics, in what is know as Robot Learning. Some of the research topics that I am currently developing include: Deep Reinforcement Learning, Model-based RL, Tactile Sensing, Dynamics Modeling, and Bayesian Optimization.
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Mike Lambeta, Gregg Kammerer, Dinesh Jayaraman,Roberto Calandra, Po-Wei Chou, Stephen Tian, Brian Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi
international conference on robotics and automation, pp.1-1, (2020)
medical image computing and computer assisted intervention, pp.23-33, (2020)
Lambeta Mike, Chou Po-Wei, Tian Stephen,Yang Brian, Maloon Benjamin, Most Victoria Rose, Stroud Dave, Santos Raymond,Byagowi Ahmad, Kammerer Gregg,Jayaraman Dinesh,Calandra Roberto
IEEE Robotics and Automation Letters, no. 3 (2020): 3838-3845
L4DC, pp.761-770, (2020)
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli,Roberto Calandra,Sergey Levine,Kristofer S. J. Pister
International Conference on Robotics and Automation, (2019): 1-1
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli,Sergey Levine,Roberto Calandra,Kristofer S. J. Pister
IEEE Robotics and Automation Letters, no. 4 (2019): 4224-4230
international conference on robotics and automation, (2019)
arXiv: Learning, (2019)
Stephen Tian,Frederik Ebert,Dinesh Jayaraman, Mayur Mudigonda,Chelsea Finn,Roberto Calandra,Sergey Levine
ICRA, (2019): 818-824
arXiv: Robotics, (2019)
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