Roberto Calandra
Title
Cited by
Cited by
Year
Deep reinforcement learning in a handful of trials using probabilistic dynamics models
K Chua, R Calandra, R McAllister, S Levine
arXiv preprint arXiv:1805.12114, 2018
5052018
Bayesian optimization for learning gaits under uncertainty
R Calandra, A Seyfarth, J Peters, MP Deisenroth
Annals of Mathematics and Artificial Intelligence 76 (1), 5-23, 2016
2152016
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
2016 International Joint Conference on Neural Networks (IJCNN), 3338-3345, 2016
1842016
More than a feeling: Learning to grasp and regrasp using vision and touch
R Calandra, A Owens, D Jayaraman, J Lin, W Yuan, J Malik, EH Adelson, ...
IEEE Robotics and Automation Letters 3 (4), 3300-3307, 2018
1372018
The feeling of success: Does touch sensing help predict grasp outcomes?
R Calandra, A Owens, M Upadhyaya, W Yuan, J Lin, EH Adelson, ...
arXiv preprint arXiv:1710.05512, 2017
962017
An experimental comparison of Bayesian optimization for bipedal locomotion
R Calandra, A Seyfarth, J Peters, MP Deisenroth
2014 IEEE International Conference on Robotics and Automation (ICRA), 1951-1958, 2014
812014
Goal-driven dynamics learning via Bayesian optimization
S Bansal, R Calandra, T Xiao, S Levine, CJ Tomlin
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5168-5173, 2017
702017
Bayesian gait optimization for bipedal locomotion
R Calandra, N Gopalan, A Seyfarth, J Peters, MP Deisenroth
International conference on learning and intelligent optimization, 274-290, 2014
682014
Manipulation by feel: Touch-based control with deep predictive models
S Tian, F Ebert, D Jayaraman, M Mudigonda, C Finn, R Calandra, ...
2019 International Conference on Robotics and Automation (ICRA), 818-824, 2019
622019
Active tactile object exploration with gaussian processes
Z Yi, R Calandra, F Veiga, H van Hoof, T Hermans, Y Zhang, J Peters
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
532016
Learning inverse dynamics models with contacts
R Calandra, S Ivaldi, MP Deisenroth, E Rueckert, J Peters
2015 IEEE International Conference on Robotics and Automation (ICRA), 3186-3191, 2015
492015
Low-level control of a quadrotor with deep model-based reinforcement learning
NO Lambert, DS Drew, J Yaconelli, S Levine, R Calandra, KSJ Pister
IEEE Robotics and Automation Letters 4 (4), 4224-4230, 2019
482019
Learning invariant representations for reinforcement learning without reconstruction
A Zhang, R McAllister, R Calandra, Y Gal, S Levine
arXiv preprint arXiv:2006.10742, 2020
442020
Learning deep belief networks from non-stationary streams
R Calandra, T Raiko, MP Deisenroth, FM Pouzols
International Conference on Artificial Neural Networks, 379-386, 2012
432012
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
362020
Adversarial continual learning
S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
352020
First-person tele-operation of a humanoid robot
L Fritsche, F Unverzag, J Peters, R Calandra
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
352015
Toward fast policy search for learning legged locomotion
MP Deisenroth, R Calandra, A Seyfarth, J Peters
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
342012
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
332017
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
2016 25th IEEE International Symposium on Robot and Human Interactive …, 2016
312016
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Articles 1–20