Jingxuan Liu
Papers
4
Total Citations
140
H-Index
4
About
Jingxuan Liu is a pioneer in intelligent robotics and human-robot interaction, with foundational work in autonomous navigation and security systems. His research centers on developing robust control frameworks for robots operating in unknown, dynamic environments—a critical challenge in real-world robotics. Liu’s most influential contribution is iBotGuard (86 citations), an internet-based security robot that uses invariant face recognition to detect and track intruders, enabling remote surveillance and automated threat response. This work bridges computer vision and teleoperation, establishing a paradigm for intelligent security robotics. He also advanced teleoperation with a novel paradigm for human-robot interaction (24 citations) that overcomes limitations of direct and supervisory control in unpredictable settings. Liu’s framework for behavior-based navigation using fuzzy logic controllers (21 citations) provides a generalized approach for autonomous robots to handle environmental uncertainties, while his work on online path searching (9 citations) addresses “blind” goal reaching without pre-existing maps. These contributions collectively address the core challenge of building reliable, adaptive robots for real-world applications, making Liu a key figure in the evolution of autonomous systems and remote security robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A novel teleoperation paradigm for human-robot interaction24 citations · 2005
- 3Autonomous robot navigation using fuzzy logic controller21 citations · 2005
- 4Online path searching for autonomous robot navigation9 citations · 2005