متابعة
Roberto Calandra
Roberto Calandra
Professor, TU Dresden / Centre for Tactile Internet with Human-in-the-Loop (CeTI)
بريد إلكتروني تم التحقق منه على tu-dresden.de - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
15932018
Learning invariant representations for reinforcement learning without reconstruction‏
A Zhang, R McAllister, R Calandra, Y Gal, S Levine‏
arXiv preprint arXiv:2006.10742, 2020‏
5352020
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
5232020
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
4092018
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
4042016
Manifold Gaussian processes for regression‏
R Calandra, J Peters, CE Rasmussen, MP Deisenroth‏
2016 International Joint Conference on Neural Networks (IJCNN), 3338-3345, 2016‏
3722016
Adversarial continual learning‏
S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach‏
European Conference on Computer Vision, 386-402, 2020‏
2552020
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
2262017
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
1972019
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
1522019
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
1492017
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
1412022
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
1372020
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
1362021
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
1282020
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
1132021
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
1132014
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
1102016
Objective mismatch in model-based reinforcement learning‏
N Lambert, B Amos, O Yadan, R Calandra‏
Learning for Dynamics and Control (L4DC), 761-770, 2020‏
1082020
Automated reinforcement learning (autorl): A survey and open problems‏
J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ...‏
Journal of Artificial Intelligence Research 74, 517-568, 2022‏
1042022
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مقالات 1–20