Papers
3
Total Citations
7
H-Index
2
About
Qixin Xu is a researcher focused on the intersection of underwater robotics and energy-efficient sensing systems. Their primary contributions lie in the development and analysis of bio-inspired robotic fish, particularly in understanding and optimizing the motion energy consumption of tail-actuated propulsion. By modeling the dynamics of caudal fin movement, Xu has provided foundational insights into how robotic fish can achieve greater energy efficiency—a critical factor for long-duration aquatic missions. This work directly supports advancements in robotic fish-based sensor networks, where Xu has explored target tracking applications that balance mobility with power conservation. Although early in their citation impact, with key papers from 2016 and 2017 accumulating 2–3 citations each, Xu’s research addresses a pressing need in underwater exploration: enabling autonomous systems to operate longer and more effectively in challenging environments. Their experimental analyses and modeling efforts represent important steps toward practical, energy-aware robotic platforms for environmental monitoring and surveillance.
Research Focus
Key Achievements
Top Papers
- 1Motion Energy Modeling for Tail-Actuated Robotic Fish3 citations · 2017
- 2
- 3