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About

Qinghui Pan is a robotics researcher focused on agricultural automation and intelligent manipulation systems. Their primary research areas include autonomous harvesting robotics, dual-arm cooperative control, and simultaneous localization and mapping (SLAM) for mobile robots. Pan’s most significant contribution is the development of an automatic sweet pepper harvesting robot, detailed in their 2024 paper, which has already garnered 10 citations—a strong early impact indicator. This work addresses the critical challenge of labor shortages in agriculture by advancing selective harvesting technology. Pan has also made notable strides in dual-arm robot coordination, proposing a cooperative control scheme based on improved dynamic movement primitives (DMPs) that achieved 8 citations. Their research extends to robust SLAM algorithms, where they developed a fuzzy adaptive extended Kalman filter method optimized by particle swarm optimization. In 2025, Pan further refined their harvesting robot with a two-stage recognition and grasping approach, demonstrating sustained innovation. Their work on efficient grasping in dense stacking environments, using mask functions and pixel overlap rates, showcases their versatility in solving complex robotic manipulation problems. With a growing citation record and a clear trajectory toward practical agricultural robotics, Qinghui Pan is establishing themselves as a rising contributor to autonomous systems and precision agriculture.