Max Robotics — Global Service Robot Directory + US Certification

About

Stavros Stavrinidis is a rising researcher in autonomous robotics, specializing in intelligent navigation and collision avoidance. His work centers on developing adaptive control strategies that enable robots to operate safely and efficiently in complex, dynamic environments. Stavrinidis’s major contributions include pioneering the use of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for real-time, collision-free navigation, as demonstrated in his 2024 paper (10 citations). He has also tackled the NP-hard multi-goal navigation problem by integrating a novel Bump-Surface path planning algorithm with fuzzy control, published in 2025 (9 citations). Collectively, his most cited works have garnered nearly 30 citations, reflecting growing recognition in the field. Stavrinidis’s research bridges the gap between theoretical optimization and practical robotic deployment, offering scalable solutions for environments with both static and dynamic obstacles. His innovative fusion of fuzzy logic and neural networks positions him as a promising contributor to next-generation autonomous systems, with clear implications for service robotics, autonomous vehicles, and industrial automation.