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Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
Transparency and explainability in image classification are essential for establishing trust in machine learning models and detecting biases and errors.
Towards integrated tactile sensorimotor control in anthropomorphic soft robotic hands
In this work, we report on the integrated sensorimotor control of the Pisa/IIT SoftHand, an anthropomorphic soft robot hand designed around the principle of adaptive synergies, with the BRL tactile fingertip (TacTip), a soft biomimetic optical tactile sensor based on the human sense of touch.
Robotics
Latest Datasets and Technologies Presented in the Workshop on Grasping and Manipulation Datasets
This paper reports the activities and outcomes in the Workshop on Grasping and Manipulation Datasets that was organized under the International Conference on Robotics and Automation (ICRA) 2016.
