2 citations · 2 across the 4 of their papers we have counts for
4 papers
Bionic Human-Motion Style Transfer for Physically Executable Whole-Body Control of Humanoid Robots
Tianchen Huang, Mingkuan Zhao, Yang Gao +8
Expressive whole-body motion is important for humanoid robots operating in human environments, where robots are expected to move stably while presenting readable and adjustable bod…
FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots
Botian Xu, Haoyang Weng, Qingzhou Lu +2
Reinforcement learning (RL) has made significant strides in legged robot control, enabling locomotion across diverse terrains and complex loco-manipulation capabilities. However, t…
Fine-Tuning Hard-to-Simulate Objectives for Quadruped Locomotion: A Case Study on Total Power Saving
Ruiqian Nai, Jiacheng You, Liu Cao +4
Legged locomotion is not just about mobility; it also encompasses crucial objectives such as energy efficiency, safety, and user experience, which are vital for real-world applicat…
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
Kun Lei, Zhengmao He, Chenhao Lu +3
Combining offline and online reinforcement learning (RL) is crucial for efficient and safe learning. However, previous approaches treat offline and online learning as separate proc…