Xunya Jiang
Papers
3
Total Citations
12
H-Index
2
About
Xunya Jiang is a robotics researcher specializing in safety-critical control and autonomous navigation in complex, dynamic environments. Their work focuses on enabling mobile robots to operate reliably in unstructured settings with both static and moving obstacles—a fundamental challenge for real-world deployment. Jiang’s major contributions include developing LiDAR-based goal-seeking frameworks that achieve online efficient obstacle avoidance, as demonstrated in their most-cited 2024 paper (8 citations). They have also pioneered adaptive learning methods that integrate sparse Gaussian processes with control barrier functions, allowing robots to maintain safety guarantees even when system models are uncertain or non-stationary. Most recently, Jiang introduced a dual-filter architecture using RGB-D cameras and dynamic control barrier functions for real-time obstacle detection and avoidance, handling suddenly appearing obstacles with remarkable consistency. With a growing citation record and publications spanning 2024–2025, Jiang’s work is at the forefront of bridging theoretical safety guarantees with practical, real-time performance—an essential step toward trustworthy autonomous systems in human environments.
Research Focus
Key Achievements
Top Papers
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