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About

Yuqing Wang is a leading researcher in agricultural robotics and human grasping biomechanics, with a focus on enhancing the dexterity and stability of robotic harvesting systems. Her work bridges the gap between human manual dexterity and robotic end-effector design, particularly for delicate tasks like fruit picking and sorting. Wang’s most influential study, “Stability tests of two-finger tomato grasping for harvesting robots” (2013, 51 citations), established foundational metrics for robotic gripper performance in agriculture, directly impacting the design of soft-robotic harvesters. She further advanced the field by quantifying human thumb-index finger power-grasp stability during manual fruit sorting (2019, 29 citations), revealing how fruit and hand characteristics influence grip reliability. Her landmark investigation into cooperative grasping capabilities (2019, 5 citations) involved 7,560 grasp-release trials, demonstrating that maximum grasping mass depends on gender, age, and digit coordination—a critical insight for ergonomic tool design and prosthetic development. Wang’s work has been instrumental in optimizing robotic grippers for variable crop geometries and improving human-robot collaboration in agricultural settings. Her research continues to shape the next generation of adaptive, bio-inspired harvesting systems.