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Roberto Calandra
Roberto Calandra
Professor, TU Dresden, Centre for Tactile Internet with Human-in-the-Loop (CeTI)
Verified email at tu-dresden.de - Homepage
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
Advances in Neural Information Processing Systems 31, 2018
13062018
Learning invariant representations for reinforcement learning without reconstruction
A Zhang, R McAllister, R Calandra, Y Gal, S Levine
arXiv preprint arXiv:2006.10742, 2020
4132020
Bayesian optimization for learning gaits under uncertainty: An experimental comparison on a dynamic bipedal walker
R Calandra, A Seyfarth, J Peters, MP Deisenroth
Annals of Mathematics and Artificial Intelligence 76, 5-23, 2016
3532016
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
3372020
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
3312018
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
2016 International Joint Conference on Neural Networks (IJCNN), 3338-3345, 2016
3282016
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
1942017
Adversarial continual learning
S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach
European Conference on Computer Vision, 386-402, 2020
1812020
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
1592019
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
1312017
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
1252019
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
1072014
TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors
S Wang, M Lambeta, PW Chou, R Calandra
IEEE Robotics and Automation Letters 7 (2), 3930-3937, 2022
1032022
OmniTact: A Multi-Directional High-Resolution Touch Sensor
A Padmanabha, F Ebert, S Tian, R Calandra, C Finn, S Levine
2020 IEEE International Conference on Robotics and Automation (ICRA), 618-624, 2020
1022020
On the importance of hyperparameter optimization for model-based reinforcement learning
B Zhang, R Rajan, L Pineda, N Lambert, A Biedenkapp, K Chua, F Hutter, ...
International Conference on Artificial Intelligence and Statistics, 4015-4023, 2021
982021
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
952020
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
942014
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
922016
Objective mismatch in model-based reinforcement learning
N Lambert, B Amos, O Yadan, R Calandra
Learning for Dynamics and Control (L4DC), 761-770, 2020
842020
Model-based meta-reinforcement learning for flight with suspended payloads
S Belkhale, R Li, G Kahn, R McAllister, R Calandra, S Levine
IEEE Robotics and Automation Letters 6 (2), 1471-1478, 2021
792021
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