Papers

3

Total Citations

66

H-Index

3

About

Ki Bum Kim is a robotics researcher specializing in motion planning and trajectory optimization for mobile robotic systems. His work has focused primarily on omnidirectional mobile robots — particularly three-wheeled configurations — where he has made meaningful contributions to solving complex, real-world trajectory generation problems. Kim's most recognized contribution is his 2011 paper on minimum-time trajectory planning for three-wheeled omnidirectional mobile robots (TOMRs), which has garnered 57 citations and remains a foundational reference in the field. This work distinguished itself by incorporating both the combined robot-actuator dynamic model and realistic hardware constraints — specifically battery voltage limitations — making its solutions practically deployable rather than purely theoretical. His earlier investigations, including a 2008 study on straight-line trajectories under voltage constraints and a 2010 multi-objective formulation balancing translational and rotational costs, laid the groundwork for this landmark result. Taken together, Kim's research addresses a critical gap between idealized motion planning and physically realizable robot control. His emphasis on bounded control inputs and combined system modeling reflects a systems-level perspective that is valuable for engineers designing autonomous mobile platforms. Students entering mobile robotics or optimal control will find his trajectory planning framework a practical and rigorous starting point.

Research Focus

Key Achievements

3
H-Index
3
Papers
66
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Minimum-Time Trajectory for Three-Wheeled Omnidirectional Mobile Robots Following a Bounded-Curvature Path With a Referenced Heading Profile
57 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago