Jan Henrik Finke

Fraunhofer Institute for Material Flow and Logistics

Papers

Total Citations

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About

Jan Henrik Finke is a robotics researcher focused on enabling intelligent, decentralized multi-robot systems to navigate and interact safely in human environments. His work bridges the critical gap between social robotics and autonomous navigation. Finke’s most cited paper, “Modelling Proxemics for Human-Technology-Interaction in Decentralized Social-Robot-Systems” (2020, 6 citations), establishes foundational models for how robots should respect personal space during human-robot interaction, a key challenge for deploying robots in crowded, social settings. He further advances the field with “MuRoSim – A Fast and Efficient Multi-Robot Simulation for Learning-based Navigation” (2024, 2 citations), addressing the low sample efficiency of Deep Reinforcement Learning (DRL) in multi-robot scenarios by providing a high-speed simulation platform for training robust navigation policies. Additionally, his work on “Accuracy Evaluation of a Low-Cost Differential Global Positioning System for Mobile Robotics” (2023, 2 citations) tackles the practical barrier of cost in outdoor localization, demonstrating that precise navigation is achievable without expensive hardware. Through these contributions, Finke is shaping the future of accessible, socially-aware, and scalable robotic systems.