Volker Krueger
Papers
12
Total Citations
213
H-Index
8
About
Volker Krueger is a prominent robotics researcher whose work centers on cognitive and autonomous robot systems, skill-based robot control, and the integration of intelligent robots into industrial manufacturing environments. His research has made significant strides in bridging the gap between advanced robotic capabilities and real-world industrial deployment, particularly through vertical and cyber-physical integration frameworks. His 2016 paper on cognitive robots in manufacturing has garnered 51 citations, with a follow-up validation study accumulating 44 more, reflecting sustained community interest in his foundational contributions. Krueger is perhaps best known for developing SkiROS2, a skill-based robot control platform for ROS, which addresses the growing industrial demand for flexible, autonomous systems capable of handling high-mix, low-volume production. His research increasingly explores machine learning within structured robot control frameworks, combining reinforcement learning, Bayesian optimization, and Behavior Trees to enable robots to adapt parameters and recover from failures intelligently. With over 200 cumulative citations and a trajectory spanning mission planning, knowledge representation, and adaptive manipulation, Krueger's body of work represents a coherent and impactful vision for the next generation of intelligent, reconfigurable industrial robots.
Research Focus
Key Achievements
Top Papers
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- 3SkiROS2: A Skill-Based Robot Control Platform for ROS30 citations · 2023
- 4Integrating Mission and Task Planning in an Industrial Robotics Framework23 citations · 2017
- 5Learning of Parameters in Behavior Trees for Movement Skills19 citations · 2021
- 6Learning Skill-based Industrial Robot Tasks with User Priors12 citations · 2022
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