Max Robotics — Global Service Robot Directory + US Certification

About

Sam Shue is a robotics researcher whose work spans mobile robot localization, simultaneous localization and mapping (SLAM), wireless sensor networks, and educational robotics. His most influential contribution, a 2018 survey on mobile robot localization and mapping in dynamic indoor environments, has accumulated 51 citations and stands as a key reference for researchers navigating the complex challenges of real-world robot navigation, including sensing, obstacle avoidance, and path planning. That same year, his survey on multi-robot SLAM further cemented his expertise in collaborative robotic systems, drawing 19 citations from the robotics community. Earlier, his 2013 survey on robotic applications in wireless sensor networks — cited 30 times — demonstrated his broad perspective on how robotics can solve practical problems such as node localization, data aggregation, and sensor failure detection. Beyond theoretical contributions, Shue has shown a consistent commitment to accessible, hands-on robotics education. His work on low-cost robotic platforms and ROS integration for educational systems reflects a passion for lowering barriers to entry in engineering programs. Across his career, Shue has established himself as a thoughtful contributor to both applied robotics research and the next generation of robotics engineers.