Dong-Po Tan
Papers
2
Total Citations
5
H-Index
2
About
Dong-Po Tan is a researcher focused on advancing rehabilitation robotics, particularly through the development of safe and intelligent control systems for lower limb exoskeletons. His work addresses critical challenges in assisting individuals with lower limb movement disorders, blending motion planning with robust control theory. A key contribution is his paper on "Safe Movement Planning with DMP and CBF for Lower Limb Rehabilitation Exoskeleton" (2022, 3 citations), which integrates Dynamic Movement Primitives (DMP) with Control Barrier Functions (CBF) to ensure both efficient assistance and patient safety during rehabilitation. In another notable study, "Adaptive backstepping sliding mode control of lower limb exoskeleton robot based on combined double power reaching law" (2022, 2 citations), Tan proposed an adaptive backstepping sliding mode control method that effectively handles robot nonlinearity, strong coupling, and unknown external disturbances. This work demonstrates his commitment to overcoming real-world control challenges in exoskeleton systems. While his citation counts are still growing, Tan’s research is laying important groundwork for safer, more adaptive rehabilitation technologies, with potential to significantly improve mobility and quality of life for patients with movement disorders.
Research Focus
Key Achievements
Top Papers
- 1
- 2