Sang-Ho Jin
Papers
7
Total Citations
34
H-Index
4
About
Sang-Ho Jin has dedicated his career to advancing intelligent robotic control systems, with a particular focus on mobile robots, robot manipulators, and fuzzy behavior-based control. His pioneering work on adaptive actor-critic learning, which integrates actual and simulated experiences for mobile robot navigation, remains a foundational contribution in the field. Jin’s research on fuzzy behavior-based control with module learning has been instrumental in enabling robots to autonomously avoid obstacles and adapt to dynamic environments. He has also made significant strides in nonlinear control for robot manipulators using artificial rubber muscles, employing fuzzy compensation to enhance robustness and precision. Among his most cited works, his 2001 paper on adaptive actor-critic learning has garnered 12 citations, reflecting its lasting impact. Jin’s exploration of fuzzy-neural networks trained via particle swarm optimization for voice-controlled systems further demonstrates his innovative approach to human-robot interaction. With a career spanning from the early 1990s to the 2000s, his contributions have shaped the development of intelligent, adaptive robotic systems, inspiring subsequent research in autonomous navigation and fuzzy control.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Fuzzy Control for Robot Manipulators with Artificial Rubber Muscles5 citations · 2007
- 4Controls of servomotors for carry hospital robots4 citations · 1993
- 5Multiple Fuzzy Control of a Robot Manipulator.3 citations · 1993
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