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Adrian Li
Adrian Li
Wayve
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Title
Cited by
Cited by
Year
Asking for help using inverse semantics
S Tellex, R Knepper, A Li, D Rus, N Roy
Robotics: Science and Systems Foundation, 2014
2062014
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
1902017
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
1772017
Recovering from failure by asking for help
RA Knepper, S Tellex, A Li, N Roy, D Rus
Autonomous Robots 39, 347-362, 2015
872015
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
552019
Control policies for collective robot learning
M Kalakrishnan, AHY Valdovinos, ALH Li, Y Chebotar, SV Levine
US Patent 11,188,821, 2021
212021
Operating multiple testing robots based on robot instructions and/or environmental parameters received in a request
PP Sampedro, M Kalakrishnan, AY Valdovinos, A Li, K Konolige, ...
US Patent 10,058,995, 2018
182018
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
162019
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
A Herzog, K Rao, K Hausman, Y Lu, P Wohlhart, M Yan, J Lin, MG Arenas, ...
arXiv preprint arXiv:2305.03270, 2023
142023
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
132013
Object pose neural network system
M Kalakrishnan, ALH Li, N Hudson
US Patent 10,861,184, 2020
62020
Generating and utilizing spatial affordances for an object in robotics applications
A Li, N Hudson, A Edsinger
US Patent 10,354,139, 2019
62019
Control policies for robotic agents
M Kalakrishnan, AHY Valdovinos, ALH Li, Y Chebotar, SV Levine
US Patent 10,960,539, 2021
52021
Neural network modules
A Li, M Kalakrishnan
US Patent 10,748,057, 2020
52020
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
42013
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
KH Lee, T Xiao, A Li, P Wohlhart, I Fischer, Y Lu
Conference on Robot Learning, 1696-1707, 2023
32023
Generating reinforcement learning data that is compatible with reinforcement learning for a robotic task
A Herzog, A Li, M Kalakrishnan, B Holson
US Patent 11,610,153, 2023
2023
Robotic control using value distributions
C Bodnar, A Li, K Hausman, PP Sampedro, M Kalakrishnan
US Patent 11,571,809, 2023
2023
Operating multiple testing robots based on robot instructions and/or environmental parameters received in a request
PP Sampedro, M Kalakrishnan, AY Valdovinos, A Li, K Konolige, ...
US Patent 11,565,401, 2023
2023
Training a policy model for a robotic task, using reinforcement learning and utilizing data that is based on episodes, of the robotic task, guided by an engineered policy
A Li, B Holson, A Herzog, M Kalakrishnan
US Patent App. 17/161,845, 2022
2022
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