Zhengtao Wang

Ministry of Agriculture and Rural Affairs, Shanghai Jiao Tong University

Papers

Total Citations

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About

Zhengtao Wang is a robotics researcher focused on developing intelligent, adaptive robotic systems for real-world applications, particularly in agriculture and rehabilitation. His work spans three key areas: agricultural robotics, pediatric exoskeletons, and industrial cleaning robots. Wang’s most cited paper, “Research status of apple picking robotic arm picking strategy and end-effector” (2025, 11 citations), provides a comprehensive review of robotic harvesting technologies, highlighting challenges in grasping delicate fruit and proposing future directions for end-effector design. In rehabilitation engineering, Wang introduced “ChMER,” an exoskeleton robot with active body weight support for children with cerebral palsy (2025, 5 citations). This system uses compliant actuation to safely assist young patients during gait training, addressing a critical need for early intervention. Wang also contributed to industrial robotics with “Design and optimization of a vacuum system for a large storage tank cleaning robot” (2024, 3 citations), where he developed an integrated cleaning platform and used Fluent-EDEM gas-solid coupling simulations to optimize dust-absorption performance. By combining simulation-driven design with practical deployment, Wang demonstrates a commitment to creating robots that are both innovative and immediately useful. His work on pediatric exoskeletons, in particular, stands out for its potential to improve quality of life for children with motor impairments.