Papers
2
Total Citations
7
H-Index
1
About
Chengpeng Li is a rising researcher in the field of robotic control systems, with a primary focus on adaptive impedance and admittance control for robotic manipulators. His work addresses critical challenges in human-robot interaction and environment-aware manipulation, particularly under state constraints and uncertain conditions. Li’s major contributions include the development of an adaptive finite-time impedance control strategy that integrates optimized backstepping techniques with reinforcement learning, enabling robotic manipulators to achieve stable, high-performance interaction while respecting physical state limits. His 2023 paper on this topic has already garnered 6 citations, signaling its relevance to the control community. More recently, Li has advanced adaptive admittance control schemes that eliminate the need for restrictive initial conditions, thereby broadening the practical applicability of optimized robot-environment interaction. His 2025 work on this subject demonstrates continued innovation in achieving seamless, force-aware robotic behavior. By bridging theoretical optimization with real-world constraints, Li is establishing himself as a promising contributor to the next generation of intelligent, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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