Chih-Jui Lin
Papers
6
Total Citations
90
H-Index
5
About
Chih-Jui Lin is a robotics researcher whose work centers on intelligent control, path planning, and object manipulation for home service robots. His primary contributions lie in developing bio-inspired algorithms—particularly particle swarm optimization (PSO) and its adaptive variants—to solve critical challenges in autonomous navigation and grasping. His most influential paper, "Integrated particle swarm optimization algorithm based obstacle avoidance control design for home service robot" (2015, 43 citations), pioneered a hybrid approach combining PSO with potential field methods for real-time obstacle avoidance. Lin further advanced this line of research with a migrant-inspired path planning algorithm that integrates PSO, potential field navigation, and fuzzy logic control (2016, 23 citations), demonstrating how swarm intelligence can be adapted for complex obstacle runs. His work on grasping posture control using an ABC-based adaptive PSO (2016, 8 citations) and real-time object recognition integrating SURF and BRISK (2014, 7 citations) has contributed to making home service robots more capable and responsive. Lin also designed a four-wheel steering and four-wheel drive mobile robot (2013, 6 citations) and implemented human-following capabilities using fuzzy head motion control and Q-learning (2013, 3 citations). Across his portfolio, Lin's work exemplifies how nature-inspired computation can be practically applied to enhance robot autonomy in domestic environments.
Research Focus
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Top Papers
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