Matthias Kalenberg

Friedrich-Alexander-Universität Erlangen-Nürnberg

Papers

Total Citations

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About

Matthias Kalenberg is a researcher focused on advancing assistive robotics and human-robot interaction, with key contributions in simulation, navigation, and human-aware systems. His work addresses critical challenges in mobile robotics, particularly for intelligent wheelchairs and socially compliant navigation. Kalenberg’s most-cited papers include a 2022 study comparing state-of-the-art robotics simulation solutions, highlighting the role of Gazebo and ROS in mobile robotics development. In 2023, he introduced a Multimodal A* Algorithm to solve the two-dimensional optimization problem of accompanying a person for an intelligent wheelchair, directly tackling mobility impairments. His 2024 work presents a comprehensive literature review, taxonomy, and framework on human comfort factors in people navigation, synthesizing key principles for socially acceptable robot movement. Each of these papers has garnered 4 citations, reflecting steady recognition in the field. Kalenberg’s research bridges technical simulation and real-world assistive applications, offering practical algorithms and frameworks that enhance robotic autonomy while prioritizing human comfort. His contributions are particularly valuable for students and researchers exploring human-aware navigation, assistive mobility technologies, and the integration of simulation tools in robotics development.