Max Robotics — Global Service Robot Directory + US Certification

About

Ga-Ram Jang is a leading researcher in robotic manipulation, with a focus on dexterous assembly and human-robot interaction. Their work centers on developing robotic systems that mimic human-like dexterity, particularly for complex tasks like peg-in-hole assembly using dual-arm robots and dexterous hands—a study that has garnered 52 citations. Jang’s contributions extend to designing a screwdriving gripper that replicates two-handed assembly tasks with a single robot arm, significantly reducing the need for multiple end-effectors. They have also advanced rescue robotics through an interactive remote operation framework that enhances operator situation awareness in disaster environments. In the realm of brain-computer interfaces, Jang pioneered an EEG-controlled tele-grasping system for undefined objects, integrating real-time neural signals with shared autonomy to enable intuitive robot control. Their work on integrating recognition and planning for robot hand grasping has laid groundwork for autonomous object manipulation. With a portfolio spanning high-impact assembly solutions to neuro-robotic interfaces, Jang’s research pushes the boundaries of how robots perceive, plan, and physically interact with the world, offering practical innovations for manufacturing, search-and-rescue, and assistive technologies.