Max Robotics — Global Service Robot Directory + US Certification

About

Jae Hwan Bong is a robotics researcher whose work spans teleoperation, bipedal locomotion, rehabilitation, and autonomous navigation. His most impactful contribution, "Force feedback haptic interface for bilateral teleoperation of robot manipulation" (11 citations), advances human-robot interaction by enabling operators to feel forces from remote environments. In bipedal robotics, his study on "Standing Balance Control of a Bipedal Robot Based on Behavior Cloning" (8 citations) addresses the fundamental challenge of maintaining stability during physical interaction, using imitation learning to replicate human-like balance strategies. Bong also contributes to mobile robotics perception with "Enhancing Pose Estimation Using Multiple Graphical Markers with Spatial and Temporal Outlier Detection" (5 citations), improving accuracy for ArUco-based systems. His work in rehabilitation robotics is notable: "Development of a Novel Robotic Rehabilitation System With Muscle-to-Muscle Interface" (5 citations) creates a closed-loop system that stimulates muscles in sync with robotic assistance, offering stage-appropriate therapy for post-stroke patients. Most recently, his "Weight-Incorporating A* Algorithm with Multi-Factor Cost Function" (2025) optimizes path planning by balancing collision avoidance, path length, and energy efficiency. With additional work on GNSS performance enhancement in harsh environments, Bong demonstrates a versatile approach to making robots more capable, safe, and human-centered across diverse applications.