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About

Benchi Jiang is a researcher specializing in robotics, with a focus on motion measurement, precision control, and pose optimization for industrial applications. His work bridges vision-based sensing and robotic manipulation, addressing critical challenges in accuracy and force control. Jiang’s most-cited paper, “Robot 3D spatial motion measurement via vision-based method” (2023, 10 citations), introduces a novel approach to evaluating robot dynamic and static performance, a cornerstone for improving kinematic accuracy and structural stability. He further advances this field with “Robot motion visual measurement based on RANSAC and weighted constraints method” (2023, 6 citations), which enhances coordinate transformation precision through an innovative optimization algorithm. In manufacturing, Jiang’s “Constant Force Control of Centrifugal Pump Housing Robot Grinding Based on Pneumatic Servo System” (2022, 8 citations) tackles the practical challenge of maintaining consistent grinding force on complex surfaces, employing force-position hybrid control for superior surface finishing. His contributions extend to motion planning with the “Attitude Interpolation Algorithm for Industrial Robot Based on Quaternion Method” (2021, 6 citations), enabling smooth pose transitions. With a growing citation record, Jiang’s research is pivotal for advancing robotic precision in industrial automation, offering tangible solutions for real-world manufacturing challenges.