Anders Steen

Papers

Total Citations

H-Index

About

Anders Steen investigates the intersection of human-robot interaction and formal trajectory planning, with a focus on collision avoidance in shared spaces. His work addresses the fundamental challenge of how robots can navigate dynamic, human-filled environments without causing disruption or discomfort. Steen’s major contributions include formalizing human motion patterns in encounters—such as two agents walking toward each other—using probabilistic Signal Temporal Logic (STL) inference. This approach allows robots to predict and adapt to human deviation behaviors, enabling smoother, more natural interactions. His most cited paper, “Should Robots Chicken?” (2021, 6 citations), explores the everyday problem of collision avoidance in human-human interaction and questions whether robots should mimic human “chicken” strategies. A follow-up work, “Formalizing Trajectories in Human-Robot Encounters via Probabilistic STL Inference” (2021, 5 citations), provides a rigorous framework for modeling these scenarios. Though his citation counts are modest, Steen’s research is foundational for developing socially aware robots that can seamlessly integrate into pedestrian flows. His work is particularly relevant for autonomous systems in crowded public spaces, offering a principled path toward safer, more intuitive human-robot coexistence.