Yunhao Liu
Papers
1
Total Citations
2
H-Index
1
About
Yunhao Liu is a leading researcher at the intersection of mobile embodied intelligence and event-based vision, whose work is redefining how autonomous agents perceive and interact with dynamic environments. His major contributions center on developing high-accuracy, low-latency perception systems for agile robots and drones, addressing the critical need for reliable feedback loops in real-world deployment. His most-cited paper, "Event Camera Meets Mobile Embodied Perception: Abstraction, Algorithm, Acceleration, Application" (2025), has already garnered 2 citations, signaling growing influence in this emerging field. Liu’s research bridges abstraction, algorithm design, and hardware acceleration, enabling event cameras to overcome traditional limitations in speed and precision. His work is pivotal for advancing high-agility autonomous systems, from drones to robotic platforms, and has been recognized for its potential to transform embodied perception. With a focus on practical applications, Liu continues to push boundaries in mobile robotics, making him a key figure to watch in the evolution of agile, intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1