Papers
10
Total Citations
138
H-Index
8
About
Changmok Oh’s research lies at the vital intersection of assistive robotics, intelligent control systems, and sensor-based localization, with a primary focus on enhancing the quality of life for the elderly and disabled. His most significant contribution is the development of the Intelligent Bed Robot System (IBRS), a groundbreaking concept that equips a standard bed with two robotic arms and a pressure-sensor mattress. This system, detailed in his highly cited 2006 and 2010 papers (garnering 21 and 30 citations respectively), can estimate a user’s pose and motion, enabling it to provide essential assistance for independent living without requiring the patient to leave the bed. Oh’s work extends beyond hardware; he has made notable advances in mobile robot navigation, including a novel obstacle avoidance method using a Velocity Dipole Field and the application of RBF neural networks to handle unknown dynamics and disturbances in robot control. He has also innovated in sensor deployment, using differential evolution to optimize RFID networks for indoor robot localization. Through this body of work, Oh has established himself as a key figure in creating practical, intelligent robotic systems that directly address the challenges of aging populations and patient care.
Research Focus
Key Achievements
Top Papers
- 1Development of a robotic system for the bed-ridden30 citations · 2010
- 2Bed-type robotic system for the bedridden21 citations · 2006
- 3
- 4Obstacle Avoidance Using Velocity Dipole Field Method16 citations · 2005
- 5Control of mobile robots using RBF network15 citations · 2004
- 6
- 7Control of a nonholonomic mobile robot using an RBF network11 citations · 2004
- 8
- 9User pose estimation using sensor distribution bed3 citations · 2005
- 10