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About

Hesheng Yin is a robotics researcher whose work spans agricultural automation, perception systems, and intelligent robotic manipulation. His primary research areas include agricultural robotics, computer vision, simultaneous localization and mapping (SLAM), and autonomous navigation in challenging environments. Yin’s most impactful contribution is the development, integration, and field evaluation of an autonomous citrus-harvesting robot (2023, 48 citations), which addresses the critical labor shortage in agriculture through robotic solutions. He further advanced this field by proposing a method for citrus pose estimation from RGB images (2023, 37 citations), enabling more precise fruit detection and manipulation. In perception and calibration, Yin developed a SLAM-based self-calibration method for binocular stereo vision rigs (2020, 23 citations), eliminating the need for manual calibration targets. His work also extends to underwater robotics, where he improved sea cucumber detection using an enhanced SSD architecture (2019, 14 citations), and to firefighting robotics, with research on accurate fire source localization and seconds-level autonomous fire extinguishing (2025). Additionally, Yin has contributed to rehabilitation robotics through a compliant lower-limb rehabilitation robot using underactuated mechanisms (2023). His recent work on data-augmented 4-D mmWave SLAM for extremely sparse point clouds (2025) pushes the boundaries of autonomous navigation in extreme environments. With over 130 citations across his publications, Yin demonstrates a consistent focus on developing practical, field-deployable robotic systems that address real-world challenges in agriculture, underwater exploration, and emergency response.