Mooncheol Won
Papers
10
Total Citations
60
H-Index
4
About
Mooncheol Won is a robotics researcher whose work bridges intelligent navigation and soft actuation, with a focus on creating more capable and energy-efficient mobile and wearable robotic systems. His research spans two core areas: autonomous navigation for mobile robots and innovative soft actuator technologies. In navigation, he has developed self-learning algorithms using machine learning and vision-based systems, including a notable people-tracking and accompanying algorithm that fuses Kinect sensor data with an Extended Kalman Filter for real-time relative positioning. His most cited work, a self-learning navigation algorithm for vision-based mobile robots (18 citations), exemplifies his early contributions to intelligent robotics. More recently, Won has made significant strides in soft robotics, proposing a soft inductive coil spring strain sensor integrated with a shape memory alloy (SMA) spring bundle actuator (14 citations) and a locking–unlocking mechanism actuated by SMA springs to improve the energy efficiency of fabric-type soft actuators (12 citations). These contributions address critical challenges in wearable robot power consumption and sensor integration. His work on wheel-legged robot motion planning and orchard navigation for self-driving vehicles under poor GPS signals further demonstrates the breadth of his impact on practical, real-world robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Development of a Navigation Control Algorithm for Mobile Robots Using D*3 citations · 2010
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- 8Motion Planning and Control of Wheel-legged Robot for Obstacle Crossing2 citations · 2022
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