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About

Jingjin Shen is a robotics researcher whose work centers on climbing robots, tactile sensing, and soft sensor technologies. Shen’s most impactful contributions lie in developing novel adhesion methods for climbing robots operating on challenging surfaces. His 2017 paper on the claw gripper system of a climbing robot, with 50 citations, and his 2016 study on a rough concrete wall-climbing robot using grasping claws, with 21 citations, address a critical gap: the lack of effective adsorption for inspecting coarse concrete, dusty, or rocky surfaces. These works demonstrate Shen’s ability to solve real-world inspection challenges where traditional smooth-wall climbers fail. Beyond climbing robots, Shen has advanced soft robotics and tactile sensing. His 2023 paper introduces a dual-porous structured dielectric layer for highly sensitive soft capacitive pressure sensors, a cost-effective innovation for wearable electronics. In 2024, he explored data-driven models for detecting slip occurrence and direction using tactile sensing simulations, enhancing robotic grasp stability. With a total of 80 citations across these key works, Shen’s research bridges mechanical design, materials science, and machine learning, offering practical solutions for inspection, manipulation, and sensing in unstructured environments.