Papers
1
Total Citations
4
H-Index
1
About
Xun Ji is a researcher in autonomous mobile robotics, with a primary focus on visual homing and landmark-based navigation strategies. Their most-cited work, "Three Landmark Optimization Strategies for Mobile Robot Visual Homing" (2018), addresses a critical challenge in the field: how to efficiently use visual landmarks—typically scale-invariant features—to guide a robot back to a target location using only vision sensors. This paper, with 4 citations, proposes optimization techniques that enhance the reliability and computational efficiency of visual homing, a key capability for robots operating in GPS-denied or indoor environments. Ji’s contributions lie in refining how robots interpret and prioritize environmental features, reducing the computational load while maintaining navigational accuracy. Though their citation count is modest, this work represents a foundational step toward more practical, vision-only navigation systems. Ji’s research is particularly relevant for students and engineers working on low-cost, sensor-limited robotic platforms, offering insights into how minimal visual data can be leveraged for robust autonomous movement.
Research Focus
Key Achievements
Top Papers
- 1Three Landmark Optimization Strategies for Mobile Robot Visual Homing4 citations · 2018