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Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots
We fine-tuned the Mask-RCNN network for the specific task of segmenting the hand of the humanoid robot Vizzy.
Online Body Schema Adaptation through Cost-Sensitive Active Learning
The results show cost-sensitive active learning has similar accuracy to the standard active learning approach, while reducing in about half the executed movement.
Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
In this paper, a robot is taught to perform two different cleaning tasks over a table, using a learning from demonstration paradigm.
Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots
One of the open challenges in designing robots that operate successfully in the unpredictable human environment is how to make them able to predict what actions they can perform on objects, and what their effects will be, i. e., the ability to perceive object affordances.
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