Uwe Koeckemann

Örebro University, Hochschule Bonn-Rhein-Sieg

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About

Uwe Koeckemann is a researcher in human-aware robotics and autonomous planning, with a focus on enabling robots to operate safely and intuitively alongside people in shared, inhabited environments. His work addresses the critical challenge of integrating human preferences, activities, and constraints into robot decision-making. In his highly cited paper, "Grandpa Hates Robots - Interaction Constraints for Planning in Inhabited Environments" (25 citations), Koeckemann introduced formal Interaction Constraints (ICs) that capture both temporal and logical dependencies between robot actions and human activities, ensuring that service robots in a home respect family routines and preferences. He further advanced the field with "Inferring Context and Goals for Online Human-Aware Planning" (7 citations), developing methods for robots to continuously adapt their plans to exogenous human actions, maintaining adherence to human needs during execution. Earlier, his work on "Applicability of feature selection on multivariate time series data for robotic discovery" (7 citations) explored how robots can autonomously design experiments to gain conceptual insights from real-world data. Koeckemann’s contributions are foundational to creating socially compliant, adaptable robots that coexist harmoniously with humans.