Roberto Calandra
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 31, 2018
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
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
2016 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, J Lin, W Yuan, J Malik, EH Adelson, ...
IEEE Robotics and Automation Letters 3 (4), 3300-3307, 2018
Learning invariant representations for reinforcement learning without reconstruction
A Zhang, R McAllister, R Calandra, Y Gal, S Levine
arXiv preprint arXiv:2006.10742, 2020
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), 314-323, 2017
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
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
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
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
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
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
Adversarial continual learning
S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach
European Conference on Computer Vision, 386-402, 2020
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
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
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
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
Re-examining linear embeddings for high-dimensional Bayesian optimization
B Letham, R Calandra, A Rai, E Bakshy
Advances in Neural Information Processing Systems 33, 2020
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
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
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