Max Robotics — Global Service Robot Directory + US Certification

About

Khaled Salhi’s research lies at the intersection of intelligent control systems, assistive robotics, and cloud-enabled navigation. His major contributions focus on enhancing autonomous mobility for both mobile robots and powered wheelchairs, particularly for disabled persons. Salhi pioneered the use of fuzzy-PID hybrid controllers combined with low-cost depth sensors and point cloud data to improve trajectory planning and obstacle avoidance in mobile robots—a foundational work that has garnered 10 citations. He further advanced assistive technology by introducing a novel, elephant-inspired “road train” navigation strategy for wheelchairs, leveraging cloud computing to enable secure, platoon-based movement. This approach, detailed in his 2016 paper (6 citations), demonstrates how bio-inspired algorithms can be integrated with modern cloud infrastructure for real-world accessibility. Salhi also developed a particle swarm optimization (PSO)-based adaptive fuzzy logic controller for the iRobot Create platform, addressing the challenge of noise and uncertainties in real robot applications (5 citations). His work on multi-robot systems for wheelchair navigation (2 citations) underscores his commitment to scalable, secure mobility solutions. Through these innovations, Salhi has established himself as a key figure in intelligent robotics and assistive technology, with his research directly impacting the development of safer, more autonomous navigation systems for vulnerable populations.