Bo Ji

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About

Bo Ji is a researcher whose work sits at the intersection of robotics, healthcare technology, and intelligent sensing. His primary research areas include multi-robot systems, remote healthcare, and multimodal inference. Ji’s most cited work, “A New Remote Health-Care System Based on Moving Robot Intended for the Elderly at Home” (2018, 31 citations), addresses the growing need for accessible, mobile-assisted care for aging populations—a contribution with significant societal relevance. He has also advanced the field of autonomous exploration with his “Novel Frontier-Based Multi-Robot Cooperative Exploration Method” (2024), which improves efficiency in unknown environments through a two-stage frontier clustering algorithm. More recently, Ji has contributed to the emerging area of multimodal remote inference (2025), exploring how fresh sensor data can enhance real-time ML predictions in dynamic settings. His comprehensive review of LiDAR SLAM techniques for multi-robot systems (2025) further underscores his role in synthesizing and advancing knowledge in autonomous navigation. With a clear trajectory from applied healthcare robotics to foundational multi-agent coordination, Ji’s work demonstrates both practical impact and theoretical depth, making him a researcher to watch in the evolving landscape of intelligent robotic systems.