Roberto Calandra
Roberto Calandra
Facebook AI Research
Dirección de correo verificada de fb.com - Página principal
Título
Citado por
Citado por
Año
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
3092018
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
1712015
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
International Joint Conference on Neural Networks (IJCNN), 3338-3345, 2016
1352016
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
962018
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
782017
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
69*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
562017
Bayesian Gait Optimization for Bipedal Locomotion
R Calandra, N Gopalan, A Seyfarth, J Peters, M Deisenroth
Learning and Intelligent OptimizatioN (LION8), 274-290, 2014
552014
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
452016
Learning Inverse Dynamics Models with Contacts
R Calandra, S Ivaldi, M Deisenroth, E Rueckert, J Peters
International Conference on Robotics and Automation (ICRA), 2015
452015
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
412019
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
402012
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
312012
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
252019
First-Person Tele-Operation of a Humanoid Robot
L Fritsche, F Unverzagt, J Peters, R Calandra
International Conference on Humanoid Robots (HUMANOIDS), 2015
252015
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
242017
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
212016
Pareto Front Modeling for Sensitivity Analysis in Multi-Objective Bayesian Optimization
R Calandra, J Peters, MP Deisenroth
NIPS Workshop on Bayesian Optimization (BayesOpt), 2014
172014
Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching
J Lin, R Calandra, S Levine
International Conference on Robotics and Automation (ICRA), 3644--3650, 2019
152019
Learning Flexible and Reusable Locomotion Primitives for a Microrobot
B Yang, G Wang, R Calandra, D Contreras, S Levine, K Pister
IEEE Robotics and Automation Letters 3 (3), 1904-1911, 2018
142018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20