Max Robotics — Global Service Robot Directory + US Certification

About

Piaopiao Jin is a rising roboticist whose work sits at the intersection of perception, manipulation, and mechanical design. Her research focuses on enabling robots to perform contact-rich assembly and fine-grained grasping tasks by fusing multiple sensory modalities—particularly vision, force, and tactile feedback. In her most cited work, "Vision-force-fused curriculum learning for robotic contact-rich assembly tasks" (2023, 20 citations), Jin introduced a novel curriculum learning framework that unifies visual and force sensing for complex assembly operations, addressing a long-standing gap in sensor fusion for industrial robotics. She extended this line of inquiry with "Visual-Force-Tactile Fusion for Gentle Intricate Insertion Tasks" (2024, 6 citations), proposing a tri-modal fusion approach for high-precision, high-compliance manipulation. Jin has also contributed to robotic grasping with her 2025 work on part affordance grounding for 6-DoF fine-grained grasp detection (12 citations), and to hardware design with a multi-backbone continuum robot capable of large extension ratios (9 citations). Her work, already accumulating over 50 citations, is shaping the next generation of dexterous, sensor-rich robotic systems for manufacturing and service applications.