Junsong Leng

Huazhong University of Science and Technology

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Total Citations

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About

Junsong Leng is a leading researcher in robotic meat processing and agricultural automation, with a focus on precision cutting and 3D vision-guided systems. His most impactful work, "Cutting of sheep carcass using 3D point cloud with dual-robot system" (2022, 9 citations), addresses two critical challenges in automated meat processing: robot calibration and accurate cutting of irregular biological materials. By integrating 3D point cloud data with dual-robot coordination, Leng's approach significantly improves cutting precision and repeatability, directly enhancing mutton quality and processing efficiency. This work represents a major contribution to the field of food robotics, where traditional manual cutting is being replaced by automated systems for hygiene, consistency, and labor reduction. Leng's research bridges computer vision, robotics kinematics, and meat science, offering practical solutions for industrial adoption. His achievements include developing calibration methods that ensure sub-millimeter accuracy in dynamic cutting environments, a key hurdle in commercializing robotic butchery. With growing interest in smart agriculture and food processing automation, Leng's work is foundational for future systems that can handle complex, non-rigid materials with minimal waste.