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About

Mikhail Ivanovich Belov is a pioneering researcher at the intersection of immersive robotics, fog computing, and the tactile Internet. His work focuses on enabling distributed, human-robot collaborative environments—what he terms "Robotic Co-working"—where physical and virtual worlds converge across multiple sites. Belov’s major contribution lies in designing resilient fog-based architectures that support real-time, gas-sniffing robot collectives for hazardous environment response. His 2022 paper, "Sniffbots to the Rescue – Fog Services for a Gas-Sniffing Immersive Robot Collective" (3 citations), introduces a novel framework where immersive interfaces allow human operators to guide autonomous sniffing robots through toxic zones, leveraging fog nodes for low-latency control and data fusion. Earlier, his 2020 work "Immersives verteiltes Robotic Co-working" (2 citations) laid the groundwork for multi-site robotic collaboration within the tactile Internet, emphasizing seamless human-robot interaction over distributed IoT networks. While his citation counts are modest, Belov’s research is notable for its forward-looking integration of immersive VR/AR, edge intelligence, and collective robotics—a niche with growing relevance for disaster response and Industry 4.0. His achievements include advancing the concept of "sniffbots" as a practical application of fog-enabled immersive teleoperation.