Huaicheng Li

Central South University of Forestry and Technology, Shanghai Jiao Tong University

Papers

Total Citations

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About

Huaicheng Li is a leading researcher in sustainable robotics, with a primary focus on automating the disassembly of end-of-life electric vehicle batteries (EVBs). His work addresses a critical environmental challenge: the safe and efficient recycling of complex, high-voltage battery packs. Li’s major contributions lie in developing robust, perception-driven robotic systems capable of handling the uncertainties inherent in screw disassembly—a key bottleneck in automated recycling. His most-cited paper (2023, 29 citations) introduces an accurate detection method for activating screws, enabling robots to reliably locate and manipulate fasteners across diverse battery designs. Expanding on this, his second most-cited work (2023, 11 citations) pioneers a NeuroSymbolic task and motion planning architecture, creating an autonomous, explainable, and robust robotic system that can adapt to structural variations without exhaustive programming. By integrating computer vision, symbolic reasoning, and adaptive control, Li’s research directly advances the circular economy for EV batteries. His work has garnered attention for its practical impact, offering scalable solutions to the growing e-waste problem. For students and researchers, Li’s contributions exemplify how robotics can be harnessed for environmental sustainability, blending theoretical innovation with real-world application.