Size Xiao

Papers

Total Citations

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About

Size Xiao has made significant contributions to the field of robotics and hardware-accelerated path planning, with a focus on optimizing random sampling-based algorithms for real-time applications. His key research areas include FPGA-based computing, motion planning, and embedded systems. Xiao’s most notable work, "Optimal random sampling based path planning on FPGAs" (2016), addresses the sub-optimality of the Rapidly-Exploring Random Trees (RRT) algorithm by leveraging FPGA parallelism to enhance efficiency and solution quality. This work, cited 4 times, demonstrates his ability to bridge algorithmic innovation with hardware design, offering practical solutions for autonomous navigation in resource-constrained environments. While his citation count is modest, Xiao’s contributions are particularly impactful in the niche of hardware-accelerated robotics, where his methods improve real-time performance and scalability. His research is valuable for students and engineers seeking to integrate advanced path planning with low-latency, energy-efficient hardware, paving the way for more robust autonomous systems in robotics and beyond.