Petter Oegren

Papers

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About

Petter Ögren is a leading researcher in autonomous robotics, with a primary focus on multi-robot coordination and behavior-based control. His most influential work, "The Advantages of Using Behavior Trees in Multi-Robot Systems" (2016, 26 citations), provides a foundational framework for extending single-robot behavior trees to multi-robot teams, demonstrating how this modular approach can unlock improved performance and fault tolerance—a key contribution that has shaped modern robotic architecture design. In more recent work, Ögren addresses the critical challenge of wireless connectivity for autonomous systems. His 2018 paper, "Kalman Filter Based Spatial Prediction of Wireless Connectivity for Autonomous Robots and Connected Vehicles" (9 citations), introduces an innovative online framework that uses Kalman filtering to estimate received signal strength, path loss, and shadow fading in real time. This work is vital for enabling reliable communication in autonomous vehicles and field robots operating in uncertain environments. Through these contributions, Ögren bridges theoretical control methods with practical robotic deployment, advancing both the safety and efficiency of multi-robot systems.