Zenghao Chen

Papers

Total Citations

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About

Zenghao Chen is a robotics researcher focused on advancing autonomous systems and human-robot collaboration. His work centers on three key areas: automated guided vehicles (AGVs) for logistics, humanoid dual-arm robots, and modular cooperative robotic systems. Chen’s most cited paper, “Design of a novel AGV with automatic pick-and-place system based on scissor lifting platform” (2020, 9 citations), addresses a critical need in hospital logistics by proposing an innovative vehicle that autonomously transports medicine-filled turnover boxes from high-mix, low-capacity shelves to departmental stations, integrating a scissor lift mechanism for efficient retrieval. This work demonstrates practical impact in healthcare automation. Expanding into humanoid robotics, Chen’s 2024 study on a learning from demonstration (LFD) system for a symmetrical dual-arm robot (4 citations) tackles the challenge of enabling robots to perform diverse human-like tasks through observation, advancing intuitive programming methods. His earlier 2020 research on kinematics simulation of a modular dual-arm robot (2 citations) quantitatively defined single-arm and collaborative workspaces, laying groundwork for coordinated motion control. Chen’s contributions bridge theoretical kinematics with applied automation, offering scalable solutions for material handling and dexterous manipulation.