Max Robotics — Global Service Robot Directory + US Certification

About

Ban-Hoe Kwan is a robotics and artificial intelligence researcher whose work spans autonomous mobile systems, swarm intelligence, and human-robot interaction. His research addresses some of the most pressing challenges in modern robotics, particularly the development of efficient, real-world-ready autonomous systems capable of operating in complex, dynamic environments. Kwan's most impactful contribution to date is his 2024 work on Enhanced Particle Swarm Optimisation (EPSO) for multi-robot path planning, which integrates cubic Bezier curve smoothing to generate smoother, more efficient trajectories — a paper that has already accumulated 13 citations. This builds on his 2023 investigation into Modified Particle Swarm Optimization for multi-robot coordination, further cementing his focus on swarm-based algorithmic solutions for robotics. Beyond optimization, Kwan has made notable contributions to applied robotics, including a machine vision-based human-tracking system for mobile service robots (2022, 8 citations) and an autonomous mobile manipulator leveraging 3D point cloud data for pick-and-place operations (2022, 4 citations). Together, these works demonstrate a researcher equally at home in theoretical algorithm design and practical robotic implementation, making his portfolio highly relevant to students and engineers working at the intersection of AI and autonomous systems.