Papers
2
Total Citations
15
H-Index
2
About
Gang-Tae Bae is a robotics researcher whose work centers on human–robot interaction, assistive robotics, and biomimetic motion control. His most influential contributions lie in the development of omni-directional mobile robots for nursing care and wearable robots that emulate human arm motion. Bae’s 2017 paper on the “Omni-directional power-assist-modular (PAM) mobile robot for total nursing service system” (9 citations) introduces a novel kinematic model for dual-offset active wheel casters, enabling precise holonomic control—a key step toward autonomous patient transport and assistance in healthcare settings. Earlier, his 2013 study “Imitation of human motion based on variable stiffness actuator and muscle stiffness sensor” (6 citations) explored how pneumatic muscle sensors can capture muscle stiffness to drive a wearable robot’s variable stiffness actuators, allowing the system to mimic natural human arm movements. This work bridges biomechanics and control engineering, with implications for rehabilitation and strength augmentation. Though his citation counts are modest, Bae’s research addresses critical challenges in nursing robotics and wearable technology, laying groundwork for safer, more intuitive assistive devices. His focus on practical, human-centered robotic systems marks him as a contributor to the growing field of service and rehabilitation robotics.
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