Yanan Liu

University of Bristol, Shanghai University, Bristol Robotics Laboratory

Papers

Total Citations

131

H-Index

About

Yanan Liu is a researcher specializing in computational vision, autonomous robotics, and embedded sensing systems, with a particular focus on bridging the gap between perception and real-time processing in resource-constrained environments. Liu's most influential contribution, "Sensor-level computer vision with pixel processor arrays for agile robots" (2022, 67 citations), pioneered the application of parallel processor arrays (PPAs) to enable low-latency, power-efficient vision processing directly at the sensor level — a breakthrough for agile autonomous systems. This work is complemented by research into in-sensor visual computing (2023, 31 citations), which challenges conventional machine vision architectures by integrating perception, memory, and processing at the pixel level to achieve ultra-high processing rates with minimal power consumption. Earlier work demonstrated Liu's broad robotics foundation, including accessible mobile robot localization using LEGO NXT platforms (2018, 20 citations) — highlighting a commitment to democratizing robotics — and real-time subpixel stereo vision techniques for improved 3D scene reconstruction (2018, 13 citations). With over 130 cumulative citations, Liu's research trajectory reflects a consistent drive toward making intelligent robotic perception faster, leaner, and more practical for real-world deployment.