Max Robotics — Global Service Robot Directory + US Certification

About

Boon Hwa Tan’s research advances the frontier of service robotics, focusing on how robots perceive, interact with, and assist humans in dynamic environments. Her work centers on three key areas: human-robot interaction, autonomous navigation, and robotic manipulation. Tan’s most cited paper (2017, 10 citations) introduces a novel human detection and tracking method using a 2D laser scanner, enabling robots to follow people reliably in cluttered settings—a critical capability for domestic and healthcare assistants. She further contributes to robotic dexterity with a flexible robotic arm design that leverages recurrent neural networks for skill learning (2014, 7 citations), allowing robots to adapt grasping motions to object variations in real time. Her framework for automatic object searching (2017, 7 citations) integrates object identification, path planning, and obstacle avoidance using a single RGB-D camera, streamlining autonomous exploration. Notably, Tan’s work on robot-to-human handover (2016, 4 citations) employs continuous-time recurrent neural networks to ensure safe, natural object transfers while avoiding collisions. Through these contributions, Tan addresses fundamental challenges in making service robots more autonomous, responsive, and user-friendly, with applications ranging from elder care to industrial assistance. Her research continues to shape how robots seamlessly integrate into human-centered environments.