Karol Hausman
Citée par
Citée par
Learning a predictable and generative vector representation for objects
R Girdhar, DF Fouhey, M Rodriguez, A Gupta
European Conference on Computer Vision, 484-499, 2016
Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning
T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn, S Levine
Conference on Robot Learning, 1094-1100, 2020
Interactive perception: Leveraging action in perception and perception in action
J Bohg, K Hausman, B Sankaran, O Brock, D Kragic, S Schaal, ...
IEEE Transactions on Robotics 33 (6), 1273-1291, 2017
Learning an embedding space for transferable robot skills
K Hausman, JT Springenberg, Z Wang, N Heess, M Riedmiller
International Conference on Learning Representations, 2018
Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor
Z Su, K Hausman, Y Chebotar, A Molchanov, GE Loeb, GS Sukhatme, ...
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
Gradient surgery for multi-task learning
T Yu, S Kumar, A Gupta, S Levine, K Hausman, C Finn
arXiv preprint arXiv:2001.06782, 2020
Dynamics-aware unsupervised discovery of skills
A Sharma, S Gu, S Levine, V Kumar, K Hausman
arXiv preprint arXiv:1907.01657, 2019
Combining model-based and model-free updates for trajectory-centric reinforcement learning
Y Chebotar, K Hausman, M Zhang, G Sukhatme, S Schaal, S Levine
International conference on machine learning, 703-711, 2017
Multi-modal imitation learning from unstructured demonstrations using generative adversarial nets
K Hausman, Y Chebotar, S Schaal, G Sukhatme, J Lim
arXiv preprint arXiv:1705.10479, 2017
Cooperative multi-robot control for target tracking with onboard sensing
K Hausman, J Müller, A Hariharan, N Ayanian, GS Sukhatme
The International Journal of Robotics Research 34 (13), 1660--1677, 2015
Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning
Y Chebotar, K Hausman, Z Su, GS Sukhatme, S Schaal
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
Relay policy learning: Solving long-horizon tasks via imitation and reinforcement learning
A Gupta, V Kumar, C Lynch, S Levine, K Hausman
arXiv preprint arXiv:1910.11956, 2019
Active Articulation Model Estimation through Interactive Perception
K Hausman, S Niekum, S Osentoski, G Sukhatme
IEEE International Conference on Robotics and Automation (ICRA) 2015, 2015
Observability-aware trajectory optimization for self-calibration with application to uavs
K Hausman, J Preiss, GS Sukhatme, S Weiss
IEEE Robotics and Automation Letters 2 (3), 1770-1777, 2017
Tracking-based interactive segmentation of textureless objects
K Hausman, F Balint-Benczedi, D Pangercic, ZC Marton, R Ueda, ...
2013 IEEE International Conference on Robotics and Automation, 1122-1129, 2013
Self-calibrating multi-sensor fusion with probabilistic measurement validation for seamless sensor switching on a UAV
K Hausman, S Weiss, R Brockers, L Matthies, GS Sukhatme
2016 IEEE international conference on robotics and automation (ICRA), 4289-4296, 2016
Cooperative Control for Target Tracking with Onboard Sensing
K Hausman, J Müller, A Hariharan, N Ayanian, GS Sukhatme
International Symposium on Experimental Robotics (ISER 2014), 2014
Confidence-rich grid mapping
AA Agha-Mohammadi, E Heiden, K Hausman, G Sukhatme
The International Journal of Robotics Research 38 (12-13), 1352-1374, 2019
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ...
arXiv preprint arXiv:2104.08212, 2021
Trajectory Optimization for Self-Calibration and Navigation.
JA Preiss, K Hausman, GS Sukhatme, S Weiss
Robotics: Science and Systems, 2017
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