Adrian Li
Adrian Li
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x.team의 이메일 확인됨
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Asking for help using inverse semantics
S Tellex, R Knepper, A Li, D Rus, N Roy
Robotics: Science and Systems Foundation, 2014
1552014
Path integral guided policy search
Y Chebotar, M Kalakrishnan, A Yahya, A Li, S Schaal, S Levine
2017 IEEE International Conference on Robotics and Automation (ICRA), 3381-3388, 2017
1142017
Collective robot reinforcement learning with distributed asynchronous guided policy search
A Yahya, A Li, M Kalakrishnan, Y Chebotar, S Levine
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
862017
Recovering from failure by asking for help
RA Knepper, S Tellex, A Li, N Roy, D Rus
Autonomous Robots 39 (3), 347-362, 2015
592015
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
C Bodnar, A Li, K Hausman, P Pastor, M Kalakrishnan
arXiv preprint arXiv:1910.02787, 2019
132019
Single assembly robot in search of human partner: Versatile grounded language generation
RA Knepper, S Tellex, A Li, N Roy, D Rus
2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013
112013
Learning probabilistic multi-modal actor models for vision-based robotic grasping
M Yan, A Li, M Kalakrishnan, P Pastor
2019 International Conference on Robotics and Automation (ICRA), 4804-4810, 2019
62019
Assembling furniture by asking for help from a human partner
S Tellex, RA Knepper, A Li, TM Howard, D Rus, N Roy
Collaborative manipulation workshop at human–Robot interaction, 2013
32013
Generating and utilizing spatial affordances for an object in robotics applications
A Li, N Hudson, A Edsinger
US Patent 10,354,139, 2019
22019
Operating multiple testing robots based on robot instructions and/or environmental parameters received in a request
PP Sampedro, M Kalakrishnan, AY Valdovinoa, A Li, K Konolige, ...
US Patent 10,427,296, 2019
12019
Neural network modules
A Li, M Kalakrishnan
US Patent 10,748,057, 2020
2020
Action prediction networks for robotic grasping
A Li, PP Sampedro, M Yan, M Kalakrishnan
US Patent App. 16/570,522, 2020
2020
An Automatic Solution Framework for Robust and Computationally Efficient Joint Estimation in Optical Motion Capture
J Hang, J Lasenby, A Li
2015 International Conference on Computational Science and Computational …, 2015
2015
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