WAY, for 'Wearable Interfaces For Hand Function Recovery', is one of our new EU FP7 projects here at IDSIA. Using BCI (brain computer interfaces) and applying machine learning techniques we aim to create algorithms that facilitate control of hand exoskeletons and prosthesis. The project focuses on practical...
icVision is an easy-to-use, modular framework performing computer vision related tasks in support of cognitive robotics research on the iCub humanoid robot. The system currently allows object recognition, identification and localisation. One of the main design goals is to allow rapid ...
The overarching goal of my iCub related research is to create robots with more autonomous and more adaptive behaviours, leading to more `intelligent´ robots. The research at the intersection between the Machine Learning and robotics, tries to first make the iCub see. That is, developing computer vision algorithms for object detection.
The EU project Intrinsically Motivated Cumulative Learning Versatile Robots -- focusses on the iCub robot and how it can learn to interact with its environment. Partners include CNR (Rome, Italy), FIAS (Frankfurt, Germany), Aberystwyth and Ulster (UK)