Ting-Wei Hung
Papers
1
Total Citations
8
H-Index
1
About
Ting-Wei Hung is a leading researcher in the intersection of robotics, autonomous systems, and control theory, with a primary focus on search and rescue operations. His most cited work, "Integrating Local Motion Planning and Robust Decentralized Fault-Tolerant Tracking Control for Search and Rescue Task of Hybrid UAVs and Biped Robots Team System" (2023, 8 citations), introduces a groundbreaking framework that combines local motion planning with robust H∞ decentralized observer-based feedforward reference tracking. This contribution addresses critical challenges in coordinating heterogeneous robot teams—specifically hybrid UAVs and biped robots—under fault conditions, enhancing their reliability and effectiveness in disaster scenarios. Hung’s research advances decentralized control strategies, ensuring fault-tolerant tracking even when individual robots experience failures, thereby improving system resilience. His work has garnered attention for its practical implications in real-world search and rescue missions, where robust coordination is paramount. By bridging theoretical control methods with applied robotics, Hung has established himself as a key innovator in autonomous team systems, with his findings influencing subsequent studies in multi-robot coordination and fault-tolerant control.
Research Focus
Key Achievements
Top Papers
- 1