Max Robotics — Global Service Robot Directory + US Certification

About

Sherif A. S. Mohamed is a robotics researcher whose work sits at the intersection of autonomous navigation, energy-efficient systems, and novel sensor integration. His most impactful contribution, a low-cost ultrasonic-based object detection and collision avoidance method for autonomous robots, has garnered 52 citations and addresses a critical need for affordable yet reliable obstacle avoidance in mobile robotics. Mohamed’s research extends into advanced perception with work on dynamic monocular visual odometry, fusing event cameras with IMU sensors to achieve robust ego-motion estimation in challenging conditions. He also tackles the pressing issue of sustainable autonomy, proposing an energy-efficient controller that dynamically adjusts both mechanical and computational loads based on environmental complexity and workload—a forward-looking approach that balances performance with power consumption. Further contributions include monocular visual odometry using hybrid parameterization to improve pose estimation accuracy. Through these efforts, Mohamed demonstrates a clear commitment to making autonomous systems both smarter and more resource-conscious, with his work cited across the fields of robotics, computer vision, and embedded systems.