1 citations · 1 across the 17 of their papers we have counts for
9 papers · 1 filter
MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence
Cheryl Wang, Chun Kwang Tan, Balint K. Hodossy +21
Athletic performance represents the pinnacle of human motor intelligence, demanding rapid choices, precise control, agility, and coordinated physical execution. Replicating this se…
Scaling Whole-Body Human Musculoskeletal Behavior Emulation for Specificity and Diversity
Yunyue Wei, Chenhui Zuo, Shanning Zhuang +3
The embodied learning of human motor control requires whole-body neuro-actuated musculoskeletal dynamics, while the internal muscle-driven processes underlying movement remain inac…
Embodied Human Simulation for Quantitative Design and Analysis of Interactive Robotics
Chenhui Zuo, Jinhao Xu, Michael Qian Vergnolle +1
Physical interactive robotics, ranging from wearable devices to collaborative humanoid robots, require close coordination between mechanical design and control. However, evaluating…
Embodied Learning of Reward for Musculoskeletal Control with Vision Language Models
Saraswati Soedarmadji, Yunyue Wei, Chen Zhang +2
Discovering effective reward functions remains a fundamental challenge in motor control of high-dimensional musculoskeletal systems. While humans can describe movement goals explic…
Energy-Efficient Omnidirectional Locomotion for Wheeled Quadrupeds via Predictive Energy-Aware Nominal Gait Selection
Xu Yang, Wei Yang, Kaibo He +3
Wheeled-legged robots combine the efficiency of wheels with the versatility of legs, but face significant energy optimization challenges when navigating diverse environments. In th…
Contact-Rich and Deformable Foot Modeling for Locomotion Control of the Human Musculoskeletal System
Haixin Gong, Chen Zhang, Yanan Sui
The human foot serves as the critical interface between the body and environment during locomotion. Existing musculoskeletal models typically oversimplify foot-ground contact mecha…