Dexin Cheng
Papers
2
Total Citations
11
H-Index
2
About
Dexin Cheng is a researcher focused on advancing rehabilitation and assistive robotics, with key contributions in exoskeleton design and humanoid motion planning. His work centers on developing adaptive control strategies for robotic systems that enhance mobility and interaction in real-world environments. In his highly cited 2022 paper, "Adaptive Adjustment Strategy for Walking Characteristics of Single-Legged Exoskeleton Robots" (9 citations), Cheng introduced a bionics-inspired single-legged exoskeleton that uses least square regression to fit joint angle data, enabling hemiplegic patients to walk with a more natural gait. This adaptive approach represents a significant step toward personalized rehabilitation. Earlier, in his 2018 study "Target Grasping and Obstacle Avoidance Motion Planning of Humanoid Robot" (2 citations), he tackled the challenge of safe robotic manipulation by developing an obstacle avoidance planning method on the ROS platform, using URDF models for a custom service robot. Together, these works demonstrate Cheng’s commitment to bridging biomechanics and autonomous control, offering practical solutions for mobility-impaired individuals and advancing the field of human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2Target Grasping and Obstacle Avoidance Motion Planning of Humanoid Robot2 citations · 2018