Dominik Riedelbauch
Papers
15
Total Citations
99
H-Index
5
About
Dominik Riedelbauch is a leading researcher in human-robot collaboration, focusing on the development of flexible, dynamic teams where humans and robots operate as equal partners. His major contributions center on creating frameworks for dynamic task allocation, world model construction, and coordination strategies that enable robots to autonomously adapt to human actions in shared workspaces. His most cited work, "Benchmarking Teamwork of Humans and Cobots" (2023, 27 citations), provides a comprehensive overview of metrics and strategies for evaluating hybrid team performance. Riedelbauch has also developed a human-aware world model that allows robots to extract task progress from camera images, enabling real-time decision-making without rigid pre-programming. His research on local world state observation and multi-agent architectures for risk-minimized path planning has advanced the practical deployment of cobots in small- and medium-sized enterprises. Notable achievements include the creation of a benchmark toolkit for collaborative interaction and a cognitive human model for virtual commissioning, which optimizes ergonomics and workflow efficiency. With over 80 total citations, Riedelbauch's work is foundational for researchers and engineers seeking to build truly adaptive, human-centric robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Coordinating flexible human-robot teams by local world state observation10 citations · 2017
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- 5A Benchmark Toolkit for Collaborative Human-Robot Interaction8 citations · 2022
- 6Fast Graphical Task Modelling for Flexible Human-Robot Teaming5 citations · 2018
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- 10Supporting a Human-Aware World Model Through Sensor Fusion3 citations · 2017