Andreas F. Wehowsky
Papers
2
Total Citations
11
H-Index
2
About
Andreas F. Wehowsky is a researcher in autonomous intelligent systems, specializing in the safe and robust coordination of heterogeneous robot teams. His work addresses a critical challenge in robotics: enabling multiple robots to execute complex missions in uncertain and harsh environments with minimal human intervention. Wehowsky’s major contributions center on the development of temporal plan networks and dynamic simple temporal networks, which provide a formal framework for managing timing constraints and procedural redundancy during task execution. His key papers, including "Safe Distributed Coordination of Heterogeneous Robots through Dynamic Simple Temporal Networks" (2003) and "Robust Distributed Coordination of Heterogeneous Robots through Temporal Plan Networks" (2005), have accumulated foundational citations in the field. These works extend robotic execution languages like RAPs, ESL, and TDL, offering algorithms that ensure robustness not only at the planning phase but also during dynamic execution. Wehowsky’s research is pivotal for dependable multi-agent systems, where failure and uncertainty must be mitigated through distributed coordination, making his work essential reading for students and engineers advancing autonomous robotics.
Research Focus
Key Achievements
Top Papers
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