Papers

24

Total Citations

298

H-Index

8

About

Jin-Ho Shin is a robotics and control systems researcher whose work spans adaptive control, fault-tolerant systems, and autonomous mobile robotics. His research has made significant contributions to addressing real-world challenges in robot control, particularly under conditions of uncertainty, disturbances, and mechanical failure. Shin's most influential work focuses on developing robust control frameworks for robot manipulators and mobile robots. His 2003 paper on adaptive dynamic control for nonholonomic mobile robots (77 citations) established practical strategies for handling modeling uncertainty, while his highly cited fault detection and recovery work (66 citations) introduced systematic approaches for managing free-swinging joint failures in robot manipulators—a critical concern for operational reliability. A complementary 2003 study further expanded this into a comprehensive fault-tolerant framework encompassing detection, identification, and accommodation. His earlier contributions to free-flying space robot control (1994) demonstrated his range, proposing joint-space dynamic control with adaptive identification to circumvent difficult Cartesian-space measurement problems. Later work integrating fuzzy logic and sliding mode control for manipulators and wheeled mobile robots reflects his ongoing interest in intelligent, hybrid control strategies. His application of genetic algorithms to neurocontrollers and chaotic neuron models for path planning further highlights his interdisciplinary approach to advancing autonomous robotic systems.

Research Focus

Key Achievements

8
H-Index
24
Papers
298
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Designing a robust adaptive dynamic controller for nonholonomic mobile robots under modeling uncertainty and disturbances
77 citations · 2003
📈 Most Prolific Year: 2002 (8 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Dong-Eui University, Korea Advanced Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 28 days ago