Roberto Calandra

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Sergey LevineUC Berkeley, Physical IntelligenceDirección de correo verificada de eecs.berkeley.edu
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIDirección de correo verificada de ias.tu-darmstadt.de
Marc DeisenrothUniversity College London and Google DeepMindDirección de correo verificada de ucl.ac.uk
Michael LambetaMetaDirección de correo verificada de lambeta.net
Nathan LambertResearch Scientist, Allen AIDirección de correo verificada de allenai.org
Jitendra MALIKProfessor of EECS, UC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Rowan McAllisterWaymoDirección de correo verificada de waymo.com
Andre SeyfarthProfessor of Sports Biomechanics, TU DarmstadtDirección de correo verificada de sport.tu-darmstadt.de
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at AustinDirección de correo verificada de austin.utexas.edu
Dinesh JayaramanAssistant Professor, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Kristofer PISTERUC BerkeleyDirección de correo verificada de berkeley.edu
Claire TomlinUC BerkeleyDirección de correo verificada de berkeley.edu
Andrew OwensAssistant Professor, University of MichiganDirección de correo verificada de mit.edu
Wenzhen YuanUniversity of Illinois Urbana-ChampaignDirección de correo verificada de illinois.edu
Edward H AdelsonProfessor of Vision Science, MITDirección de correo verificada de csail.mit.edu
Dieter BüchlerUniversity of Alberta | MPI for Intelligent Systems | AmiiDirección de correo verificada de ualberta.ca
Chelsea FinnStanford University, Physical IntelligenceDirección de correo verificada de cs.stanford.edu

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Roberto Calandra

Professor, TU Dresden / Centre for Tactile Internet with Human-in-the-Loop (CeTI)

Dirección de correo verificada de tu-dresden.de - Página principal

Robot Learning Model-based Reinforcement Learning Tactile Sensing Touch Processing


Título Ordenar por citas Ordenar por año Ordenar por 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 31, 2018	1637	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	553	2020
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	540	2020
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	417	2018
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	406	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	371	2016
Adversarial continual learning S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach European Conference on Computer Vision, 386-402, 2020	264	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	230	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	201	2019
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	153	2019
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	149	2022
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	148	2017
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	139	2021
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	138	2020
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	133	2020
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	116	2021
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	113	2022
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	113	2016
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	113	2014
Objective mismatch in model-based reinforcement learning N Lambert, B Amos, O Yadan, R Calandra Learning for Dynamics and Control (L4DC), 761-770, 2020	112	2020

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