Yangguang Sun

South Central University for Nationalities

Papers

Total Citations

H-Index

About

Yangguang Sun has made pioneering contributions at the intersection of quantum computing and robotics, with a particular focus on intelligent path planning for autonomous systems. His most influential work, "Quantum Genetic Algorithm for Mobile Robot Path Planning" (2010), introduced a novel approach that leverages quantum mechanics principles—specifically quantum-bit superposition states—to encode and optimize robot trajectories. This groundbreaking method demonstrated how quantum genetic algorithms could significantly enhance the efficiency and adaptability of mobile robot navigation, offering a computational advantage over classical optimization techniques. While his citation count of 9 reflects a specialized but impactful contribution, Sun's work stands out for its conceptual innovation in applying quantum computing paradigms to real-world robotic challenges. His research bridges theoretical quantum computation with practical engineering applications, inspiring subsequent studies in bio-inspired and quantum-inspired algorithms for autonomous systems. Sun's achievements highlight his role as an early adopter of quantum-inspired methodologies in robotics, paving the way for more efficient, adaptive path planning solutions in complex environments.