Jiann-Fuh Liaw
Papers
1
Total Citations
5
H-Index
1
About
Jiann-Fuh Liaw is a researcher focused on human-robot interaction and teleoperation systems, with a particular emphasis on mitigating human errors in remote control environments. His work addresses critical challenges in robot teleoperation, where network transmission delays can cause asynchronous communication between human operators and robots, leading to operational mistakes such as redundant or duplicate commands. His most cited paper, "Target prediction to improve human errors in robot teleoperation system" (2017), introduces predictive methods to anticipate operator intent and compensate for latency, thereby enhancing system reliability and user performance. This contribution is especially relevant for applications in hazardous environments, remote surgery, and space exploration, where precise control is essential. While his citation count is modest, Liaw's research provides foundational insights into error reduction strategies that are increasingly important as teleoperation systems become more widespread. His work bridges human factors engineering and robotics, offering practical solutions to improve the safety and efficiency of human-robot collaboration in delayed communication scenarios.
Research Focus
Key Achievements
Top Papers
- 1Target prediction to improve human errors in robot teleoperation system5 citations · 2017