Max Robotics — Global Service Robot Directory + US Certification

About

Junchi Yan is a leading robotics researcher whose work focuses on embodied intelligence, tactile perception, and autonomous navigation. His major contributions span the critical intersection of tactile sensing and dynamic hand-object interaction modeling, where he has pioneered methods that allow robots to reason about physical interactions in ways previously limited to vision-based systems. His highly cited 2021 work on dynamic modeling via tactile sensing (19 citations) has been foundational for advancing dexterous manipulation, demonstrating how tactile feedback can unlock new levels of robotic capability in everyday tasks. Yan has also made significant strides in mobile robot localization, with his grid-based approach (11 citations) providing robust solutions for autonomous navigation in competitive and industrial settings. More recently, his 2024 work on closed-loop visuomotor control with generative expectation pushes the boundaries of robotic manipulation, while his 2025 RoboSense benchmark establishes a large-scale dataset for egocentric perception in crowded, unstructured environments—a critical step toward socially aware robotics. Through these contributions, Yan is shaping the future of robots that can perceive, reason, and act with human-like dexterity and awareness.