Roberto Calandra
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Deep reinforcement learning in a handful of trials using probabilistic dynamics models
K Chua, R Calandra, R McAllister, S Levine
Advances in Neural Information Processing Systems, 4754-4765, 2018
Bayesian Optimization for Learning Gaits under Uncertainty
R Calandra, A Seyfarth, J Peters, MP Deisenroth
Annals of Mathematics and Artificial Intelligence (AMAI) 76 (1), 5--23, 2015
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
International Joint Conference on Neural Networks (IJCNN), 3338-3345, 2016
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
R Calandra, A Owens, D Jayaraman, W Yuan, J Lin, J Malik, EH Adelson, ...
IEEE Robotics and Automation Letters 3 (4), 3300--3307, 2018
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
R Calandra, A Owens, M Upadhyaya, W Yuan, J Lin, EH Adelson, ...
Conference on Robot Learning (CoRL), 2017
An experimental comparison of Bayesian optimization for bipedal locomotion
R Calandra, A Seyfarth, J Peters, MP Deisenroth
International Conference on Robotics and Automation (ICRA), 2014
Goal-Driven Dynamics Learning via Bayesian Optimization
S Bansal, R Calandra, T Xiao, S Levine, CJ Tomlin
IEEE Conference on Decision and Control (CDC), 5168-5173, 2017
Bayesian Gait Optimization for Bipedal Locomotion
R Calandra, N Gopalan, A Seyfarth, J Peters, M Deisenroth
Learning and Intelligent OptimizatioN (LION8), 274-290, 2014
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
S Tian, F Ebert, D Jayaraman, M Mudigonda, C Finn, R Calandra, ...
International Conference on Robotics and Automation (ICRA), 818--824, 2019
Active Tactile Object Exploration with Gaussian Processes
Z Yi, R Calandra, F Veiga, H van Hoof, T Hermans, Y Zhang, J Peters
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Learning Inverse Dynamics Models with Contacts
R Calandra, S Ivaldi, M Deisenroth, E Rueckert, J Peters
International Conference on Robotics and Automation (ICRA), 2015
Learning Deep Belief Networks from Non-Stationary Streams
R Calandra, T Raiko, MP Deisenroth, FM Pouzols
International Conference on Artificial Neural Networks (ICANN), 379--386, 2012
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement learning
NO Lambert, DS Drew, J Yaconelli, R Calandra, S Levine, KSJ Pister
Robotics and Automation Letters (RA-L) 4 (4), 4224--4230, 2019
MBMF: Model-Based Priors for Model-Free Reinforcement Learning
S Bansal, R Calandra, K Chua, S Levine, C Tomlin
arXiv preprint arXiv:1709.03153, 2017
Toward Fast Policy Search for Learning Legged Locomotion
MP Deisenroth, R Calandra, A Seyfarth, J Peters
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012
First-Person Tele-Operation of a Humanoid Robot
L Fritsche, F Unverzagt, J Peters, R Calandra
International Conference on Humanoid Robots (HUMANOIDS), 2015
A Low-cost Sensor Glove with Vibrotactile Feedback and Multiple Finger Joint and Hand Motion Sensing for Human-Robot Interaction
P Weber, E Rueckert, R Calandra, J Peters, P Beckerle
IEEE International Symposium on Robot and Human Interactive Communication …, 2016
Learning Invariant Representations for Reinforcement Learning without Reconstruction
A Zhang, R McAllister, R Calandra, Y Gal, S Levine
arXiv preprint arXiv:2006.10742, 2020
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation
M Lambeta, PW Chou, S Tian, B Yang, B Maloon, VR Most, D Stroud, ...
IEEE Robotics and Automation Letters 5 (3), 3838-3845, 2020
Adversarial continual learning
S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach
arXiv preprint arXiv:2003.09553 1, 2020
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