Papers
25
Total Citations
281
H-Index
8
About
Manfred Eppe is a prominent researcher at the intersection of cognitive robotics, artificial intelligence, and human-robot interaction, whose work bridges symbolic reasoning and machine learning to create more intelligent robotic systems. His most influential contribution, "Intelligent Problem-Solving as Integrated Hierarchical Reinforcement Learning" (2022, 84 citations), establishes a compelling framework for understanding how robots can tackle complex tasks through layered learning architectures inspired by human cognition. Eppe's research consistently addresses a fundamental challenge in robotics: enabling machines to reason causally, plan symbolically, and learn adaptively in unstructured real-world environments. His pioneering integration of action planning with reinforcement learning allows robots to decompose causally complex problems into manageable sequences — a significant step toward genuinely autonomous robotic agents. His work on sensorimotor representation learning further advances robots' capacity to develop an "active self," enabling safer and more natural human-robot collaboration. Beyond algorithmic contributions, Eppe has made notable strides in natural language understanding for robotics and the development of collaborative platforms like NICOL, a neuro-inspired semi-humanoid robot designed to bridge social interaction with physical manipulation. His earlier work on narrative-based postdictive reasoning demonstrates a longstanding commitment to grounding robots in rich, flexible cognitive frameworks. Collectively, his research has accumulated over 220 citations, marking him as a significant voice shaping the future of intelligent, socially aware robotics.
Research Focus
Key Achievements
Top Papers
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- 5Narrative based Postdictive Reasoning for Cognitive Robotics14 citations · 2013
- 6Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction12 citations · 2014
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- 8Approximate Epistemic Planning with Postdiction as Answer-Set Programming10 citations · 2013
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