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About

Tore Lindgren is an emerging researcher specializing in edge computing, 5G communications, and autonomous robotic systems, with a particular focus on bridging the gap between mobile robotics and next-generation wireless infrastructure. His work addresses one of the most pressing challenges in modern robotics: providing computationally constrained platforms, including unmanned aerial vehicles (UAVs) and multi-robot systems, with access to powerful external processing resources through robust, low-latency 5G connections. Lindgren's most cited contribution, "Toward 5G Edge Computing for Enabling Autonomous Aerial Vehicles" (2023, 27 citations), explores the offloading of control-critical processes to edge cloud resources, a paradigm that could fundamentally transform how autonomous robots operate in real-world environments. His subsequent work on communication-aware control for multi-robot map merging (2024, 11 citations) demonstrates sophisticated thinking about data transmission constraints in centralized cognition architectures. His resilient framework combining edge-based Model Predictive Control with onboard PID fallback further highlights his commitment to practical, failure-tolerant system design. Collectively, Lindgren's research shapes how future autonomous systems will leverage distributed computing infrastructure, making him a noteworthy voice in the intersection of robotics, telecommunications, and artificial intelligence.