Constantin A. Rothkopf
Technische Universität Darmstadt, Goethe University Frankfurt, Frankfurt Institute for Advanced Studies
Papers
8
Total Citations
88
H-Index
6
About
Constantin A. Rothkopf is a leading researcher at the intersection of robotics, cognitive science, and human-robot interaction, with a primary focus on enabling robots to learn from and adapt to human partners. His work centers on making robot behavior intuitive and safe for non-experts through imitation learning and interactive reinforcement learning. A key contribution is the development of intention-aware movement primitives that allow robots to anticipate and react to human co-workers in real-time, a concept detailed in his highly cited 2019 paper (38 citations). He has also pioneered methods for integrating multimodal human feedback—combining speech, gestures, and other cues—to accelerate robot learning, as seen in his 2022 work on Bayesian fusion of advice. Rothkopf’s research extends to active tactile perception for texture recognition and the computational modeling of human sensorimotor control, including how we integrate visual and auditory cues for depth estimation. His involvement in the IM-CLeVeR project on intrinsically motivated learning further underscores his commitment to building versatile, autonomous systems that learn cumulatively from their environment and human interaction.
Research Focus
Key Achievements
Top Papers
- 1Learning Intention Aware Online Adaptation of Movement Primitives38 citations · 2019
- 2Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice12 citations · 2022
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- 7Generalization and Interference in Human Motor Control3 citations · 2013
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