Renyuan Liu (刘稔远)
Welcome to my homepage! I’m a third-year undergraduate student at the School of Mathematics and Information Science, Guangzhou University. I am fortunate to be advised by Prof. Qinbing Fu at the Machine Life and Intelligence Research Centre, Guangzhou University.
Research Interests
I am transfixed by computational neuroscience, particularly the intersection of bio-inspired algorithms and robotic systems. I am trying to understand and model biological systems — especially insect visual circuits — that exhibit robust and efficient real-time perception, and applying these principles to real-world artificial systems.
Currently, my work focuses on:
- Biologically-Plausible Visual Algorithms: Developing neural models inspired by insect vision for motion perception, particularly looming detection.
- Collision Detection in Robotic Systems: Creating effective and efficient solutions for collision avoidance in complex and dynamic natural environments.
- Embedded and Real-Time Implementation: Designing neural algorithms that are efficient enough to run on extremely resource-constrained embedded platforms, supporting real-time interaction and safety in micro mobile robots.
Ultimately, I aim to advance the development of machine life endowed with embodied intelligence, robustness, and energy efficiency, by drawing inspiration from the compact, adaptive, and efficient nature of insect brains.
I am actively looking for research or graduate positions for Fall 2026, and would be grateful for any opportunity to contribute and learn 😀. You can find my CV here: Renyuan’s Curriculum Vitae.
