Liangkai Liu

Papers

Total Citations

107

H-Index

About

Liangkai Liu is a leading researcher in energy-efficient edge computing and autonomous mobile robotics, with a focus on bridging the gap between real-time performance and power constraints. His most influential work, **LoPECS**, introduces a low-power edge computing system that enables multiple autonomous driving services to run simultaneously on affordable embedded hardware—a critical step toward democratizing self-driving technology. This paper has garnered **67 citations**, reflecting its impact on both academia and industry. Liu further advanced the field with **E2M**, which tackles the energy and latency challenges of computer-vision tasks on autonomous mobile robots (AMRs), and his recent **open approach** to energy-efficient AMRs addresses the fundamental battery-life bottleneck that limits real-world deployment. His research on **compositional mixed-criticality systems** also provides formal models for ensuring reliability in modular, hierarchical architectures like AUTOSAR and ROS2. By systematically addressing power, real-time constraints, and system modularity, Liu’s work is shaping the next generation of practical, long-lasting autonomous systems.