Roberto Calandra

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Sergey LevineUC Berkeley, Physical IntelligencePreverjeni e-poštni naslov na eecs.berkeley.edu
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIPreverjeni e-poštni naslov na ias.tu-darmstadt.de
Marc DeisenrothUniversity College London and Google DeepMindPreverjeni e-poštni naslov na ucl.ac.uk
Michael LambetaMetaPreverjeni e-poštni naslov na lambeta.net
Nathan LambertResearch Scientist, Allen AIPreverjeni e-poštni naslov na allenai.org
Jitendra MALIKProfessor of EECS, UC BerkeleyPreverjeni e-poštni naslov na eecs.berkeley.edu
Rowan McAllisterWaymoPreverjeni e-poštni naslov na waymo.com
Andre SeyfarthProfessor of Sports Biomechanics, TU DarmstadtPreverjeni e-poštni naslov na sport.tu-darmstadt.de
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at AustinPreverjeni e-poštni naslov na austin.utexas.edu
Dinesh JayaramanAssistant Professor, University of PennsylvaniaPreverjeni e-poštni naslov na seas.upenn.edu
Kristofer PISTERUC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Claire TomlinUC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Andrew OwensAssistant Professor, University of MichiganPreverjeni e-poštni naslov na mit.edu
Wenzhen YuanUniversity of Illinois Urbana-ChampaignPreverjeni e-poštni naslov na illinois.edu
Edward H AdelsonProfessor of Vision Science, MITPreverjeni e-poštni naslov na csail.mit.edu
Dieter BüchlerUniversity of Alberta | MPI for Intelligent Systems | AmiiPreverjeni e-poštni naslov na ualberta.ca
Chelsea FinnStanford University, Physical IntelligencePreverjeni e-poštni naslov na cs.stanford.edu

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Roberto Calandra

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

Preverjeni e-poštni naslov na tu-dresden.de - Domača stran

Robot Learning Model-based Reinforcement Learning Tactile Sensing Touch Processing


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	1632	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	551	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	533	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	413	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	263	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	229	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	199	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
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
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	146	2022
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
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	136	2021
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	115	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	112	2022
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
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	112	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	112	2014

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