Desheng Zeng
Papers
1
Total Citations
4
H-Index
1
About
Desheng Zeng is a researcher at the forefront of assistive robotics, with a primary focus on developing intelligent, adaptive control systems for human-robot interaction. His work centers on enhancing the safety and flexibility of robotic arms used in wheelchair-mounted assistive devices, particularly for the elderly and individuals with disabilities. In his most-cited paper, "Research on Stiffness Adaptive Admittance Control for Wheelchair Robotic Arms Based on Fuzzy Control" (2024, 4 citations), Zeng introduces a novel variable stiffness admittance controller that dynamically adjusts robotic compliance using fuzzy logic. This innovation addresses a critical challenge in assistive robotics: balancing the need for robust task execution with safe, intuitive human interaction. By enabling robotic arms to adapt their stiffness in real-time based on environmental and user cues, Zeng's work directly improves the usability and reliability of assistive technologies. His contributions are paving the way for more responsive and human-friendly robotic systems, with clear implications for improving quality of life in caregiving contexts. As an emerging voice in this field, Zeng’s research holds significant promise for advancing adaptive control methodologies in rehabilitation and elderly care robotics.
Research Focus
Key Achievements
Top Papers
- 1