Shaoshan Liu

Papers

Total Citations

118

H-Index

About

Shaoshan Liu is a prominent researcher at the intersection of robotics, computer architecture, and embedded computing, with a particular focus on hardware acceleration for robotic systems. His work addresses one of the most pressing challenges in modern robotics: bridging the gap between sophisticated algorithms and the computational hardware needed to run them efficiently in real-world environments. Liu's most influential contribution, "A Survey of FPGA-Based Robotic Computing" (2021), has garnered over 112 citations, establishing him as a leading authority on leveraging Field-Programmable Gate Arrays to accelerate robotic workloads across manipulators, drones, legged robots, and autonomous vehicles. This survey has become an essential reference for researchers designing next-generation robotic hardware. His work on PI-BA Bundle Adjustment acceleration demonstrates his hands-on approach to solving concrete computational bottlenecks, optimizing critical 3D localization and mapping techniques for embedded FPGA platforms. Looking beyond hardware, Liu's more recent philosophical exploration, "An Evolutionary Path for Embodied Robotics" (2026), reflects his broader vision for the future of humanoid robots, signaling his growing influence in shaping the conceptual foundations of the field. Across his career, Liu has consistently combined engineering rigor with forward-thinking perspective, making him a compelling voice in robotics research.