Peter Alriksson

Papers

Total Citations

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About

Peter Alriksson’s research lies at the intersection of distributed robotics, sensor networks, and hybrid systems estimation, with a focus on enabling robust multi-agent coordination in complex environments. His most cited work, a component-based approach to localization and collision avoidance for mobile multi-agent systems (2007, 10 citations), was developed within the RUNES project, where he designed modular software components that allowed mobile robots to restore radio connectivity in disaster-relief tunnel scenarios. This work demonstrated how component-based architectures could simplify the integration of localization and collision avoidance in dynamic, sensor-rich environments. Alriksson also advanced simulation methodology by developing a holistic TrueTime model of the same tunnel scenario (2007, 5 citations), enabling concurrent simulation of physical robots and their embedded control systems—a tool that proved valuable for testing networked robotic applications before deployment. His doctoral thesis, *State Estimation for Distributed and Hybrid Systems* (2008, 5 citations), contributed an approximate distributed Kalman filter that allowed sensor nodes to fuse local measurements and neighbor estimates linearly, addressing key challenges in scalability and communication constraints. Though his citation counts are modest, Alriksson’s work on component-based design and distributed estimation has influenced subsequent research in cooperative robotics and networked control systems.