Manfred Eppe

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Universität Bremen ∙ University of Hamburg

Passionate about cognitively Inspired Artificial Intelligence...

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Exercise with Social Robots: Companion or Coach?

In this paper, we investigate the roles that social robots can take in p...
03/24/2021 ∙ by Sascha Griffiths, et al. ∙ 0 ∙ share

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Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments

This paper outlines a perspective on the future of AI, discussing direct...
03/11/2021 ∙ by Manfred Eppe, et al. ∙ 12 ∙ share

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Hierarchical principles of embodied reinforcement learning: A review

Cognitive Psychology and related disciplines have identified several cri...
12/18/2020 ∙ by Manfred Eppe, et al. ∙ 0 ∙ share

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Sensorimotor representation learning for an "active self" in robots: A model survey

Safe human-robot interactions require robots to be able to learn how to ...
11/25/2020 ∙ by Phuong D. H. Nguyen, et al. ∙ 0 ∙ share

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Robotic self-representation improves manipulation skills and transfer learning

Cognitive science suggests that the self-representation is critical for ...
11/13/2020 ∙ by Phuong D. H. Nguyen, et al. ∙ 0 ∙ share

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Reinforcement Learning with Time-dependent Goals for Robotic Musicians

Reinforcement learning is a promising method to accomplish robotic contr...
11/11/2020 ∙ by Thilo Fryen, et al. ∙ 0 ∙ share

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Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks

We present a follow-up study on our unified visuomotor neural model for ...
09/26/2020 ∙ by Matthias Kerzel, et al. ∙ 3 ∙ share

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Curious Hierarchical Actor-Critic Reinforcement Learning

Hierarchical abstraction and curiosity-driven exploration are two common...
05/07/2020 ∙ by Frank Röder, et al. ∙ 18 ∙ share

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From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use

Reinforcement learning is an appropriate and successful method to robust...
05/23/2019 ∙ by Manfred Eppe, et al. ∙ 6 ∙ share

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Curriculum goal masking for continuous deep reinforcement learning

Deep reinforcement learning has recently gained a focus on problems wher...
09/17/2018 ∙ by Manfred Eppe, et al. ∙ 0 ∙ share

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Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot

We present a novel approach for interactive auditory object analysis wit...
07/03/2018 ∙ by Manfred Eppe, et al. ∙ 2 ∙ share

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Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction

This paper presents a computational model of the processing of dynamic s...
07/26/2016 ∙ by Michael Spranger, et al. ∙ 0 ∙ share

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Exploiting Deep Semantics and Compositionality of Natural Language for Human-Robot-Interaction

We develop a natural language interface for human robot interaction that...
04/22/2016 ∙ by Manfred Eppe, et al. ∙ 0 ∙ share

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Tractable Epistemic Reasoning with Functional Fluents, Static Causal Laws and Postdiction

We present an epistemic action theory for tractable epistemic reasoning ...
03/01/2014 ∙ by Manfred Eppe, et al. ∙ 0 ∙ share

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Narrative based Postdictive Reasoning for Cognitive Robotics

Making sense of incomplete and conflicting narrative knowledge in the pr...
06/04/2013 ∙ by Manfred Eppe, et al. ∙ 0 ∙ share

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h-approximation: History-Based Approximation of Possible World Semantics as ASP

We propose an approximation of the Possible Worlds Semantics (PWS) for a...
04/17/2013 ∙ by Manfred Eppe, et al. ∙ 0 ∙ share

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