Max Robotics — Global Service Robot Directory + US Certification

About

Hao An is a robotics researcher whose work centers on the intersection of perception, control, and manipulation for complex, unstructured environments. His primary research areas include cable-driven parallel robots, force and impedance control, and sim-to-real transfer for robotic manipulation. An’s most significant contribution is his development of a variable centroid trajectory tracking network (VCTTN), which enables robots to predict and track the in-flight trajectory of nonrigid, variable centroid objects—a notoriously difficult problem compared to handling rigid objects. This work, published in 2023, has garnered 60 citations, underscoring its impact on dynamic object manipulation. He has also advanced cable-driven parallel robots with an all-in-one design featuring flexible workspace and an auto-calibration method, addressing a key limitation of traditional systems. Additionally, An has proposed a neural adaptive impedance control method for force tracking in uncertain environments, enhancing human-robot interaction and medical rehabilitation applications. His research on sim-to-real transfer for robot manipulation skills further demonstrates his commitment to deploying robust control in real-world settings. Through these contributions, Hao An is shaping the future of adaptive, compliant robotics.