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07/21/2023
CycleIK: Neuro-inspired Inverse Kinematics
The paper introduces CycleIK, a neuro-robotic approach that wraps two no...
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07/17/2023
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification
Multimodal integration is a key component of allowing robots to perceive...
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05/15/2023
NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation
Robotic platforms that can efficiently collaborate with humans in physic...
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01/09/2023
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Input
Human infant learning happens during exploration of the environment, by ...
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11/28/2022
Neuro-Symbolic Spatio-Temporal Reasoning
Knowledge about space and time is necessary to solve problems in the phy...
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10/14/2022
Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks
The act of reaching for an object is a fundamental yet complex skill for...
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08/18/2022
Intelligent problem-solving as integrated hierarchical reinforcement learning
According to cognitive psychology and related disciplines, the developme...
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07/15/2022
Learning Flexible Translation between Robot Actions and Language Descriptions
Handling various robot action-language translation tasks flexibly is an ...
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07/06/2022
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning
Spatial reasoning poses a particular challenge for intelligent agents an...
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05/05/2022
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning
Understanding spatial relations is essential for intelligent agents to a...
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01/17/2022
Language Model-Based Paired Variational Autoencoders for Robotic Language Learning
Human infants learn language while interacting with their environment in...
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11/02/2021
A trained humanoid robot can perform human-like crossmodal social attention conflict resolution
Due to the COVID-19 pandemic, robots could be seen as potential resource...
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07/26/2021
Robotic Occlusion Reasoning for Efficient Object Existence Prediction
Reasoning about potential occlusions is essential for robots to efficien...
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07/01/2021
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 ...
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03/24/2021
Exercise with Social Robots: Companion or Coach?
In this paper, we investigate the roles that social robots can take in p...
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02/19/2021
Continual Learning from Synthetic Data for a Humanoid Exercise Robot
In order to detect and correct physical exercises, a Grow-When-Required ...
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12/18/2020
Hierarchical principles of embodied reinforcement learning: A review
Cognitive Psychology and related disciplines have identified several cri...
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09/26/2020
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 ...
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06/24/2020
Crossmodal Language Grounding in an Embodied Neurocognitive Model
Human infants are able to acquire natural language seemingly easily at a...
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04/21/2020
Explainable Goal-Driven Agents and Robots – A Comprehensive Review and New Framework
Recent applications of autonomous agents and robots, for example, self-d...
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04/19/2020
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 ...
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12/13/2019
Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach
Whenever we are addressing a specific object or refer to a certain spati...
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10/10/2019
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space
Combining model-based and model-free deep reinforcement learning has sho...
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09/05/2019
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...
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05/05/2019
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...
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10/26/2018
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning
In this paper, we present a new intrinsically motivated actor-critic alg...
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07/03/2018