Dominik Jain

Technical University of Munich, University of Bremen

Papers

8

Total Citations

328

H-Index

7

About

Dominik Jain is a leading researcher in cognitive robotics, focusing on enabling autonomous service robots to perform complex household tasks by integrating knowledge representation, reasoning, and perception. His work centers on bridging the gap between navigation and manipulation through semantic understanding of environments. Jain’s major contributions include the development of KNOWROB-MAP, a knowledge-linked semantic object mapping system that allows robots to maintain rich, contextual information about objects and their locations, cited over 90 times. He also pioneered cognition-enabled robot control models for home chore task intelligence, as detailed in his highly cited 2012 overview (66 citations), which outlines principles for achieving task-level autonomy under uncertainty. Jain advanced first-order probabilistic reasoning for robot control programs (40 citations), enabling robots to soundly handle complexity and uncertainty in real-world settings. His research on perception and probabilistic anchoring (34 citations) and learning organizational principles in human environments (27 citations) further demonstrates his impact on practical robotic reasoning. Jain’s work, published in top venues like the Proceedings of the AAAI Conference on Artificial Intelligence and the International Conference on Intelligent Robots and Systems, has been instrumental in equipping robots with the cognitive capabilities needed for everyday manipulation activities.

Research Focus

Key Achievements

7
H-Index
8
Papers
328
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
KNOWROB-MAP - knowledge-linked semantic object maps
90 citations · 2010
📈 Most Prolific Year: 2010 (5 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Technical University of Munich, University of Bremen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago