Ruediger Dillmann
Karlsruhe Institute of Technology, Center for Information Technology, FZI Research Center for Information Technology, Karlsruhe University of Education, Karlsruhe University of Applied Sciences, Czech Academy of Sciences, Institute of Computer Science, University of California, Merced
Papers
92
Total Citations
1,710
H-Index
21
About
Ruediger Dillmann is a prominent robotics researcher whose career has been defined by advancing intelligent robot systems capable of operating alongside humans in real-world environments. His work spans several interconnected domains, including programming by demonstration, humanoid manipulation, grasp planning, and motion planning — areas in which he has made foundational contributions that continue to shape the field. Among his most influential achievements is his research into robot learning from human demonstration, most notably his work on incremental task learning from user demonstrations and vocal feedback (142 citations), which addressed the critical challenge of enabling robots to adapt to diverse, unpredictable human environments. His development of Hidden Markov Model-based sensor fusion for recognizing continuous grasping sequences (118 citations) provided a robust framework for interpreting human hand gestures in manipulation tasks. His contributions to humanoid manipulation in human-centered environments (117 citations) further cemented his reputation as a leader in service robotics. Dillmann also advanced practical robotic infrastructure through tools like the Simox robotics toolbox and GPU-accelerated collision detection frameworks, reflecting a commitment to translating research into deployable systems. With hundreds of citations across his body of work, his research has meaningfully shaped how robots perceive, plan, and physically interact with the world around them.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Toward humanoid manipulation in human-centred environments117 citations · 2007
- 4Stereo-based 6D object localization for grasping with humanoid robot systems75 citations · 2007
- 5Unified GPU voxel collision detection for mobile manipulation planning65 citations · 2014
- 6An automatic grasp planning system for service robots62 citations · 2009
- 7Simox: A Robotics Toolbox for Simulation, Motion and Grasp Planning60 citations · 2012
- 8
- 9Automatic optimal grasp planning based on found contact points36 citations · 2008
- 106D object localization and obstacle detection for collision-free manipulation with a mobile service robot36 citations · 2009