Yusuf Kurnia Badriawan
Papers
2
Total Citations
6
H-Index
2
About
Yusuf Kurnia Badriawan is a rising researcher at the intersection of rehabilitation robotics, soft robotics, and artificial intelligence. His work focuses on developing intelligent control systems that make robots more adaptive and effective in real-world applications. Badriawan’s most notable contribution is his pioneering use of Large Language Models (LLMs) to control upper limb rehabilitation robots, a novel approach that promises to make post-stroke therapy more intuitive and responsive to patient needs. This work has already garnered early recognition with 4 citations. In parallel, he is advancing the field of soft-growing robots by applying Deep Reinforcement Learning for autonomous navigation in unknown environments. This research addresses the critical challenge of obstacle avoidance for these flexible robots as they navigate narrow and complex spaces, opening new possibilities for search-and-rescue and medical exploration. With a clear focus on merging cutting-edge AI with practical robotic systems, Badriawan is establishing himself as an innovator in creating smarter, safer, and more human-centered robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1Upper Limb Rehabilitation Robot Control based on Large Language Model4 citations · 2024
- 2