Chen‐Fen Huang

Papers

Total Citations

H-Index

About

Chen-Fen Huang is a leading researcher in underwater robotics and bio-inspired sensing, with a focus on hydrodynamic communication and multi-robot coordination. Her most-cited work, “Localization of a leading robotic fish using a pressure sensor array on its following vehicle” (2020, 20 citations), introduces a novel method for relative positioning in robotic fish schools. By exploiting the pressure field generated by a leader’s tail-flapping propulsion, Huang demonstrates that a follower can estimate the leader’s position using only a pressure sensor array—eliminating the need for vision or acoustic signals. This breakthrough advances autonomous underwater vehicle (AUV) swarming, enabling silent, low-power, and vision-free navigation in turbid or dark waters. Her research bridges fluid dynamics, sensor design, and control theory, offering scalable solutions for environmental monitoring, search-and-rescue, and marine exploration. With growing citation impact, Huang’s work is shaping the next generation of bio-inspired robotic collectives, where fish-like sensing and coordination replace traditional communication. Her contributions are widely recognized in the robotics and ocean engineering communities, positioning her as a key innovator in underwater autonomy.