Max Robotics — Global Service Robot Directory + US Certification

About

Victor Ng‐Thow‐Hing is a pioneering roboticist whose research bridges the gap between humanoid robot motion planning and natural human-robot interaction. His key contributions span multi-modal motion planning, gesture-speech synchronization, and child-robot learning partnerships. Most notably, his work on randomized multi-modal motion planning for humanoid manipulation tasks (145 citations) revolutionized how robots reason about contact states during complex object manipulation, enabling robots to seamlessly transition between different modes of interaction. His development of fast trajectory smoothing algorithms using bounded-acceleration shortcuts (108 citations) provided an efficient solution for generating smooth, collision-free paths for high-degree-of-freedom manipulators. Ng‐Thow‐Hing also made significant advances in human-robot communication through his model for synchronizing expressive gestures with speech on Honda's ASIMO humanoid (86 citations), enabling robots to produce iconic, metaphoric, and deictic gestures naturally. His pioneering work on interactive learning partnerships with children (74 citations) explored how humanoid robots can serve as educational companions, while his studies on affective interaction design (29 citations) examined how robot features influence children's emotional engagement. Through his Cognitive Map architecture (18 citations) and primitive task programming frameworks, Ng‐Thow‐Hing has advanced both the technical foundations of humanoid robotics and their practical applications in human-centered settings.