Papers
56
Total Citations
638
H-Index
14
About
Hsien-I Lin is a prominent researcher in robotics, with key contributions spanning robot motion planning, human-robot interaction, and intelligent manufacturing. His work is distinguished by a focus on making robots more autonomous, efficient, and intuitive to program. A major contribution is his development of a fast, unified method for generating minimum-jerk robot joint trajectories using particle swarm optimization, a highly cited paper (80 citations) that has advanced smooth and energy-efficient motion control. Lin has also made significant strides in sports robotics, particularly through ball tracking and trajectory prediction for table-tennis robots (52 citations), and in industrial automation, where he designed an intelligent robotic system for precise assembly with rapid teaching and admittance control (44 citations). His innovative teaching systems for industrial robots (32 citations) and energy consumption modeling using BN-LSTM (31 citations) further underscore his impact. With over 300 total citations, Lin’s research has practical implications for manufacturing, service robotics, and human-robot collaboration, establishing him as a leading figure in the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2Ball Tracking and Trajectory Prediction for Table-Tennis Robots52 citations · 2020
- 3
- 4A Novel Teaching System for Industrial Robots32 citations · 2014
- 5
- 6
- 7Robot path planning based on three-dimensional artificial potential field18 citations · 2025
- 8Understanding Human Hand Gestures for Learning Robot Pick-and-Place Tasks18 citations · 2015
- 9Development of an intelligent transformer insertion system using a robot arm17 citations · 2018
- 10Evaluation of human-robot arm movement imitation17 citations · 2011