Simon Ottenhaus
Papers
11
Total Citations
323
H-Index
9
About
Simon Ottenhaus is a leading roboticist whose work sits at the intersection of humanoid robotics, autonomous manipulation, and haptic perception. He is best known as a key architect of the ARMAR-6 humanoid robot, a high-performance platform designed for safe, collaborative human-robot interaction in real-world industrial environments. His foundational contributions to the ARMAR-6 project, detailed in papers with over 150 combined citations, established a benchmark for integrating mobile manipulation, bimanual coordination, and robust perception in a single, collaborative system. Beyond hardware, Ottenhaus has made significant strides in robot behavior programming with the ArmarX Statechart concept, and in visuo-haptic grasping, where he pioneered the fusion of Gaussian Process Implicit Surfaces with deep learning to enable robots to grasp unknown objects. His work on active tactile exploration, which maximizes information gain during touch, and on human-inspired grasp representations for anthropomorphic hands, has advanced the field’s understanding of dexterous manipulation. With a research portfolio that spans from novel sensor modalities to practical sample collection under resource constraints, Ottenhaus’s work is essential reading for anyone interested in building robots that can perceive, touch, and work alongside humans.
Research Focus
Key Achievements
Top Papers
- 1
- 2ARMAR-6: A Collaborative Humanoid Robot for Industrial Environments61 citations · 2018
- 3The ArmarX Statechart Concept: Graphical Programing of Robot Behavior30 citations · 2016
- 4Local implicit surface estimation for haptic exploration28 citations · 2016
- 5
- 6Active Tactile Exploration Based on Cost-Aware Information Gain Maximization22 citations · 2018
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