Presentation / Installation


5. Learning Human-like Locomotion Based on Biological Actuation and Rewards
SessionPosters: Animation & Simulation
DescriptionWe propose a method of learning a policy for human-like locomotion via deep reinforcement learning based on a human anatomical model, muscle actuation, and biologically inspired rewards, without any inherent control rules or reference motions.
Contributors
Minkwan Kim
Hanyang University
Yoonsang Lee
Hanyang University
Event Type
Poster
TimeWednesday, 9 August 20239am - 5:30pm PDT
LocationWest Lobby Entrance
ACM Digital Library Poster PDF
Session Time & Location
Sunday, 6 August 20239am - 5:30pm PDTWest Lobby Entrance
Monday, 7 August 20239am - 5:30pm PDTWest Lobby Entrance
Tuesday, 8 August 20239am - 5:30pm PDTWest Lobby Entrance
Wednesday, 9 August 20239am - 5:30pm PDTWest Lobby Entrance
Thursday, 10 August 20239am - 5:30pm PDTWest Lobby Entrance
Keywords
Animation/Simulation
Artificial Intelligence/Machine Learning
Dynamics/Simulation
Registration Categories
FC
FCS
E
EFC
EE
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