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About

Johannes Hofer is a leading researcher at the intersection of robotics, edge computing, and augmented reality (AR), whose work is redefining how mobile robots perceive and navigate their environments. His primary research focuses on **Visual Simultaneous Localization and Mapping (vSLAM)** , specifically addressing the critical challenge of offloading these computationally intensive tasks from resource-constrained robots to edge cloud infrastructure. Hofer’s major contribution lies in pioneering **dynamic network offloading** for SLAM, as demonstrated in his highly cited work "DynNetSLAM" (12 citations), which moves beyond static offloading to adapt to fluctuating wireless network conditions. This innovation is crucial for enabling real-time, reliable autonomy in robots like drones and quadrupedal platforms. His impact is further evidenced by his top-cited paper (14 citations) on evaluating edge-cloud SLAM advantages, which directly addresses the trade-off between computational power and runtime. Beyond theory, Hofer excels in tangible demonstrations, notably bridging the gap between robotics and AR by integrating the Boston Dynamics Spot robot with the Microsoft HoloLens 2. These demos showcase the practical, real-world potential of his research for remote operation and immersive human-robot interaction, solidifying his reputation as a key figure in advancing next-generation autonomous systems.