Rainer Kartmann
Karlsruhe Institute of Technology, CE Technologies (United Kingdom)
Papers
11
Total Citations
132
H-Index
6
About
Rainer Kartmann is a robotics researcher whose work sits at the intersection of cognitive architectures, human-robot interaction, and robot manipulation. His research is primarily focused on enabling robots to understand and reason about their physical environment — particularly through the extraction of spatial object relations and support structures that allow robots to predict the consequences of manipulation actions. His 2018 paper on physically plausible support relations (33 citations) demonstrated how robots operating in cluttered environments could reason more reliably about object interactions, while a series of works on spatial relation representations helped bridge natural language commands and physical scene manipulation. More recently, Kartmann has explored how large language models can facilitate incremental, natural-interaction-based learning in humanoid robots, with his 2024 paper on this topic already garnering 32 citations — reflecting strong community interest. His contributions to robot memory systems and cognitive architectures, implemented within the ArmarX framework, further reveal a commitment to building holistic, intelligent robot systems. Notably, his "BlueSky" papers advocate for integrating task planning with security, access control, and neuro-symbolic AI — pushing the field toward safer, more ethically aware assistive humanoid robots capable of supporting humans in everyday life.
Research Focus
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Top Papers
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