Papers
2
Total Citations
11
H-Index
2
About
Jingyi Xu is an emerging researcher working at the intersection of computer vision, robotics, and artificial intelligence, with a particular focus on egocentric vision and autonomous systems. Their work spans two compelling frontiers: understanding human motion through first-person video and enabling robust multi-robot navigation in complex environments. Among their most notable contributions is the development of MADiff, a Motion-Aware Mamba Diffusion Model designed for hand trajectory prediction on egocentric videos. This work advances embodied AI by enabling systems to anticipate human intentions and actions — a critical capability for applications in extended reality and human-robot interaction. The paper has already garnered 6 citations since its 2025 publication, signaling strong early interest from the research community. Xu's robotics work demonstrates equal depth. Their 2022 framework for multi-robot LiDAR odometry and mapping addresses the underexplored challenge of handling multiple simultaneous uncertainties in large-scale environments, earning 5 citations and contributing meaningfully to the field of collaborative SLAM. Together, these works reveal a researcher committed to bridging perception, prediction, and real-world deployment — making Xu's evolving portfolio well worth following for students interested in autonomous and embodied intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2