Papers
13
Total Citations
111
H-Index
6
About
Xiaoqiang Ji is a robotics researcher whose work spans autonomous maritime systems, wearable exoskeletons, and bio-inspired robots. His primary contributions lie in developing energy-efficient and sustainable robotic platforms, particularly for long-term ocean exploration. Ji’s research on sailing robots addresses critical challenges in energy management and autonomous navigation, with his 2022 paper on long-term sailing robots from energy perspectives garnering 24 citations. He has also advanced wearable exoskeleton technology, designing a kinetic walking energy harvester for Bowden cable-actuated systems (20 citations) and developing learning-based control methods to overcome frictional hysteresis. Ji’s innovative work includes the OBoat, an agile omnidirectional unmanned surface vehicle platform, and a projectile-based mechanism for USV charging tasks. His research extends to flapping-wing air vehicles, underwater robots inspired by sea turtles, and parallel self-assembly algorithms for modular robots. With a focus on practical, deployable solutions, Ji’s work demonstrates significant impact in enabling autonomous systems to operate reliably in challenging environments, contributing to the fields of marine robotics, rehabilitation technology, and energy harvesting.
Research Focus
Key Achievements
Top Papers
- 1Toward Long-Term Sailing Robots: State of the Art From Energy Perspectives24 citations · 2022
- 2
- 3
- 4
- 5
- 6Mechanism Design and Motion Analysis of a Flapping-Wing Air Vehicle9 citations · 2022
- 7
- 8
- 9Design and Development of an Underwater Robot Inspired by Sea Turtles4 citations · 2024
- 10