Hong-Ruei Chang
Papers
1
Total Citations
20
H-Index
1
About
Hong-Ruei Chang is a researcher whose work lies at the intersection of bio-inspired robotics, hydrodynamics, and multi-robot systems. His most prominent contribution centers on advancing the autonomy and coordination of robotic fish, particularly through the innovative use of pressure-based sensing for localization. In his highly cited 2020 paper, Chang demonstrated that the tail-flapping propulsion of a leading robotic fish generates a distinct hydrodynamic pressure field, which can be detected by a following vehicle equipped with a pressure sensor array. By characterizing how flapping frequency and amplitude shape this field, he developed a method for a follower robot to estimate its relative position without relying on vision or sonar—a breakthrough for underwater communication. This work, which has garnered 20 citations, has significant implications for stealthy, energy-efficient swarm operations in cluttered or dark aquatic environments. Chang’s research bridges fluid dynamics and control theory, offering a practical path toward more resilient and coordinated underwater robot teams. His achievements highlight a deep understanding of biological propulsion and sensor integration, positioning him as a key contributor to the next generation of autonomous aquatic systems.
Research Focus
Key Achievements
Top Papers
- 1