Baocheng Yu

Papers

Total Citations

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About

Baocheng Yu is a pioneering researcher in assistive robotics and human-robot interaction, with a primary focus on developing intelligent systems for mobility-impaired individuals, particularly the elderly and those with spinal cord injuries. His work centers on lower limb exoskeleton robots and adaptive motion control, where he has made significant contributions to sit-to-stand transfer assistance—a critical yet often overlooked daily activity for independent living. Yu’s most cited paper, "Multi-fuzzy Sarsa learning-based sit-to-stand motion control for walking-support assistive robot" (2021, 6 citations), introduces a novel reinforcement learning approach that enables robots to safely and smoothly assist users during this challenging movement. In "Hybrid-Driven Lower Limb Exoskeleton Robot" (2021, 1 citation), he proposed an innovative hybrid actuation system combining traditional electric motors with pneumatic artificial muscles, offering a more compliant and natural assistance. His recent work, "Graph-geometric message passing via a graph convolution transformer for FKP regression" (2024, 1 citation), demonstrates his expanding expertise into advanced machine learning architectures. Yu’s research bridges the gap between theoretical control algorithms and practical robotic assistance, directly addressing real-world needs in aging populations and rehabilitation.