Max Robotics — Global Service Robot Directory + US Certification

About

Yunhai Han is an accomplished robotics researcher whose work spans robotic manipulation, tactile sensing, deformable object interaction, and surgical autonomy. His research addresses some of the most demanding challenges at the intersection of machine learning and physical robotics, with a particular focus on enabling robots to reliably handle complex, real-world scenarios involving deformable and soft materials. Han's most influential contribution, a transformer-based vision-tactile grasping framework for deformable objects, has garnered 54 citations, demonstrating significant community interest in his approach to generalizable robotic grasping strategies. Complementing this, his real-to-sim registration work for surgical robotics — with 38 citations — advances the frontier of autonomous robotic surgery by accurately modeling soft tissue deformation dynamics using position-based physics. His exploration of autonomous micro-mobility vehicles further showcases his breadth across robotic systems. More recently, Han has pushed boundaries in dexterous manipulation, tactile learning from human demonstrations, and the application of Koopman operator theory to interpretable robot control. His work on multi-agent conflict resolution using temporal logic adds a formal verification dimension to his portfolio. Collectively, Han's research reflects a rigorous, interdisciplinary approach aimed at making robots safer, more capable, and more adaptable in unstructured environments.