Max Robotics — Global Service Robot Directory + US Certification

About

Vahid Rostami’s research centers on autonomous robotics, intelligent control systems, and computer vision, with a particular focus on soccer-playing robots and multi-agent coordination. His work bridges fuzzy logic, neural networks, and scene modeling to enhance robot perception and navigation in dynamic environments. A key contribution is his development of fuzzy error recovery mechanisms for omnidirectional mobile robots, enabling robust feedback control even when robots deviate from their intended paths—a critical capability for real-time sports robotics. In adaptive color mapping for the NAO humanoid robot, he employed neural networks to improve object identification (e.g., balls, goals, teammates) under varying lighting conditions, directly advancing RoboCup vision systems. His integration of global and local salient features for scene modeling further strengthened mobile robot autonomy in unstructured settings. Rostami also played a foundational role in building the MRL middle-size soccer robot team, applying omnidirectional vision and fuzzy control to multi-agent coordination. Though his citation counts (2–4 per paper) reflect a niche, specialized audience, his work represents early, practical steps in fusing soft computing with competitive robotics—laying groundwork for more adaptive, vision-guided autonomous systems.