Jun-Ji Lin
Papers
3
Total Citations
21
H-Index
3
About
Dr. Jun-Ji Lin is a rising researcher at the intersection of robotics, human motion analysis, and machine learning. His primary research focuses on enabling safer and more intuitive human-robot interaction by developing intelligent systems that can perceive and predict human movement. Dr. Lin’s most significant contribution is his work on detecting transitions between human postures, a critical but often overlooked aspect of human-robot collaboration. His 2023 paper, "Human Posture Transition-Time Detection Based upon Inertial Measurement Unit and Long Short-Term Memory Neural Networks," has already garnered 12 citations, highlighting its importance for industrial and clinical settings. He has also advanced robotic control by exploring direct reinforcement learning for articulated robot trajectory control, a challenging area that bypasses traditional dynamic models. His 2022 paper on this topic has received 6 citations. Dr. Lin’s work is laying the groundwork for more responsive and adaptive robotic systems, with his research on human motion change detection (3 citations in 2023) further demonstrating his commitment to making robots that can fluidly and safely work alongside people.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Machine Learning for Human Motion Change Detection3 citations · 2023