Sebastian Hoose

Fraunhofer Institute for Material Flow and Logistics

Papers

Total Citations

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About

Sebastian Hoose is a robotics researcher whose work bridges the critical gap between human-robot interaction and precise, accessible mobile robot localization. His primary research areas include proxemics in human-technology interaction, decentralized social-robot systems, and low-cost navigation solutions for outdoor robotics. Hoose’s most notable contribution is his 2020 paper, “Modelling Proxemics for Human-Technology-Interaction in Decentralized Social-Robot-Systems,” which has garnered 6 citations and explores how robots can socially navigate human spaces by modeling interpersonal distance norms. This work is foundational for designing robots that interact naturally and comfortably with people in shared environments. In his 2023 study, “Accuracy Evaluation of a Low-Cost Differential Global Positioning System for Mobile Robotics,” Hoose tackles a persistent challenge in field robotics: the prohibitive cost of high-precision GPS. By systematically evaluating affordable DGPS alternatives, he provides a practical pathway for researchers and developers to achieve centimeter-level accuracy without breaking budget constraints. His work demonstrates a commitment to democratizing advanced robotic capabilities, making precise localization accessible for a wider range of applications, from agricultural robots to autonomous delivery systems.