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About

Wei-jiunn Jang is a leading researcher in agricultural robotics and human-robot collaboration, with a particular focus on harvesting and crop-transport systems. His most impactful work centers on the collaboration between human pickers and autonomous crop-transporting robots, detailed in a two-part study (2020) that has garnered 43 and 31 citations, respectively. This research introduced novel models and simulators for coordinating human and robot activities during harvesting, along with robot-scheduling case studies that significantly improve operational efficiency. Earlier in his career, Jang contributed foundational insights into mobile robot dynamics, notably in his 1994 investigation of passive joint control for dynamic coupling between vehicle and arm motions—a study that remains cited for its innovative approach to reducing mechanical complexity. He also developed vibration-reducing path tracking control for strawberry transport robots (2014), addressing the critical challenge of navigating uneven field terrain while minimizing crop damage. Jang’s work bridges theoretical robotics and practical agricultural applications, making him a key figure in the advancement of intelligent, collaborative farming systems.