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11/23/2022
Comparison of Motion Encoding Frameworks on Human Manipulation Actions
Movement generation, and especially generalisation to unseen situations,...
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11/15/2022
Simulated Mental Imagery for Robotic Task Planning
Traditional AI-planning methods for task planning in robotics require sy...
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07/26/2022
Infant movement classification through pressure distribution analysis – added value for research and clinical implementation
In recent years, numerous automated approaches complementing the human P...
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07/22/2022
Open video data sharing in developmental and behavioural science
Video recording is a widely used method for documenting infant and child...
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03/02/2022
3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects
We propose a method for 3D object reconstruction and 6D-pose estimation ...
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01/26/2022
Combining optimal path search with task-dependent learning in a neural network
Finding optimal paths in connected graphs requires determining the small...
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10/26/2021
Bootstrapping Concept Formation in Small Neural Networks
The question how neural systems (of humans) can perform reasoning is sti...
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04/22/2020
Human and Machine Action Prediction Independent of Object Information
Predicting other people's action is key to successful social interaction...
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04/02/2020
Semantic Image Search for Robotic Applications
Generalization in robotics is one of the most important problems. New ge...
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04/01/2020
One-shot path planning for multi-agent systems using fully convolutional neural network
Path planning plays a crucial role in robot action execution, since a pa...
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04/01/2020
Generation of Paths in a Maze using a Deep Network without Learning
Trajectory- or path-planning is a fundamental issue in a wide variety of...
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11/14/2019
Attention on Abstract Visual Reasoning
Attention mechanisms have been boosting the performance of deep learning...
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07/03/2019
Action Prediction in Humans and Robots
Efficient action prediction is of central importance for the fluent work...
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01/26/2018
Symbol Emergence in Cognitive Developmental Systems: a Survey
Symbol emergence through a robot's own interactive exploration of the wo...
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09/26/2017
Learning to Label Affordances from Simulated and Real Data
An autonomous robot should be able to evaluate the affordances that are ...
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06/13/2017
Transfer entropy-based feedback improves performance in artificial neural networks
The structure of the majority of modern deep neural networks is characte...
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06/11/2015
Distributed Recurrent Neural Forward Models with Synaptic Adaptation for Complex Behaviors of Walking Robots
Walking animals, like stick insects, cockroaches or ants, demonstrate a ...
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07/11/2014