Jaepyung Hwang
Papers
1
Total Citations
4
H-Index
1
About
Jaepyung Hwang is a leading researcher in human-robot interaction and autonomous manipulation, with a focus on enabling robots to work safely and intuitively alongside people. His most impactful work centers on real-time grasp planning for human-robot cooperation, where he developed a motion field graph framework that allows robots to dynamically adjust their grasping strategies based on real-time human interaction. This contribution, published in 2016, has garnered 4 citations and addresses a critical challenge in collaborative robotics: enabling robots to plan smooth, natural, and adaptive grasping motions during live cooperation. Hwang’s approach leverages human demonstrations to build motion models, allowing robots to change their grasp strategies agilely as interactions evolve. His research bridges the gap between robotic autonomy and human-guided control, advancing the field of shared autonomy and physical human-robot collaboration. By focusing on real-time adaptability, Hwang’s work has implications for manufacturing, assistive robotics, and service applications where safe and responsive robot behavior is essential.
Research Focus
Key Achievements
Top Papers
- 1