Matthias Kerzel

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University of Hamburg

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Robotic Occlusion Reasoning for Efficient Object Existence Prediction

Reasoning about potential occlusions is essential for robots to efficien...
07/26/2021 ∙ by Mengdi Li, et al. ∙ 0 ∙ share

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Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning

Telerobotic systems must adapt to new environmental conditions and deal ...
07/01/2021 ∙ by Hadi Beik-Mohammadi, et al. ∙ 3 ∙ share

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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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Continual Learning from Synthetic Data for a Humanoid Exercise Robot

In order to detect and correct physical exercises, a Grow-When-Required ...
02/19/2021 ∙ by Nicolas Duczek, et al. ∙ 0 ∙ 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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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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Crossmodal Language Grounding in an Embodied Neurocognitive Model

Human infants are able to acquire natural language seemingly easily at a...
06/24/2020 ∙ by Stefan Heinrich, et al. ∙ 5 ∙ share

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Explainable Goal-Driven Agents and Robots – A Comprehensive Review and New Framework

Recent applications of autonomous agents and robots, for example, self-d...
04/21/2020 ∙ by Fatai Sado, et al. ∙ 1 ∙ share

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Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination

Combining model-based and model-free learning systems has been shown to ...
04/19/2020 ∙ by Muhammad Burhan Hafez, et al. ∙ 2 ∙ share

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Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach

Whenever we are addressing a specific object or refer to a certain spati...
12/13/2019 ∙ by Doreen Jirak, et al. ∙ 16 ∙ share

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Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space

Combining model-based and model-free deep reinforcement learning has sho...
10/10/2019 ∙ by Muhammad Burhan Hafez, et al. ∙ 3 ∙ share

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective

Selective attention plays an essential role in information acquisition a...
09/05/2019 ∙ by Di Fu, et al. ∙ 10 ∙ share

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Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning

Recent success in deep reinforcement learning for continuous control has...
05/05/2019 ∙ by Muhammad Burhan Hafez, et al. ∙ 10 ∙ share

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Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning

In this paper, we present a new intrinsically motivated actor-critic alg...
10/26/2018 ∙ by Muhammad Burhan Hafez, et al. ∙ 6 ∙ 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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