Contact-Rich and Deformable Foot Modeling for Locomotion Control of the Human Musculoskeletal System
Haixin Gong, Chen Zhang, Yanan Sui
- 发表年份
- 2025
- 访问权限
- 开放获取
摘要
The human foot serves as the critical interface between the body and environment during locomotion. Existing musculoskeletal models typically oversimplify foot-ground contact mechanics, limiting their ability to accurately simulate human gait dynamics. We developed a novel contact-rich and deformable model of the human foot integrated within a complete musculoskeletal system that captures the complex biomechanical interactions during walking. To overcome the control challenges inherent in modeling multi-point contacts and deformable material, we developed a two-stage policy training strategy to learn natural walking patterns for this interface-enhanced model. Comparative analysis between our approach and conventional rigid musculoskeletal models demonstrated improvements in kinematic, kinetic, and gait stability metrics. Validation against human subject data confirmed that our simulation closely reproduced real-world biomechanical measurements. This work advances contact-rich interface modeling for human musculoskeletal systems and establishes a robust framework that can be extended to humanoid robotics applications requiring precise foot-ground interaction control.
关键词
相关论文
基于非线性滑模模型预测控制与自适应跟随转向及动静态约束的六轮独立驱动/四轮独立转向无人地面车辆轨迹跟踪控制
Shengyang Lu, Guanpeng Chen, Lijing Zhao 等 5 位作者
Robotics and Autonomous Systems · 2026
仿生水下机器人:材料、设计、控制与应用进展
Dilip Muchhala, Pramod Kumar Maurya, Adarsh Raut 等 6 位作者
Robotics and Autonomous Systems · 2026
刚柔混合连杆人形机器人的建模与控制
Zewen He, Taiki Ishigaki, Ko Yamamoto
Robotics and Autonomous Systems · 2026
人-外骨骼-助行器系统的人工推动自适应协调控制
Xinhao Zhang, Chen Yang, Chaobin Zou 等 7 位作者
Robotics and Autonomous Systems · 2026