The HYPER Project intends to represent a breakthrough in the research of neurorobotic (NR) and motor neuroprosthetic (MNP) devices in close cooperation with the human body, both for rehabilitation and functional compensation of motor disorders in activities of daily living. The project will focus its activities on new wearable NR-MNP systems that will combine biological and artificial structures in order to overcome the major limitations of current rehabilitation solutions for the particular case of Cerebrovascular Accident (CVA), Cerebral Palsy (CP) and Spinal Cord Injury (SCI).
The main objectives of the project are to restore motor function in SCI patients through functional compensation and to promote motor control re-learning in patients suffering from CVA and CP by means of an integrated use of neurorobotics and neuroprosthetics.
I am mainly involved in developing and applying BCI protocols to provide useful information to the NR-MNP system and to the therapist to improve the rehabilitation.
At its core, RoboEarth is a World Wide Web for robots: a giant network and database repository where robots can share information and learn from each other about their behavior and their environment.
Bringing a new meaning to the phrase "experience is the best teacher", the goal of RoboEarth is to allow robotic systems to benefit from the experience of other robots, paving the way for rapid advances in machine cognition and behaviour, and ultimately, for more subtle and sophisticated human-machine interaction.
At Unizar we are mainly involved in 3D perception and reconstruction.
Robotcub has the two-fold objective of studying human cognition and developinp intelligent robots based on the same learning mechanisms human use in their development. Work done in this project includes: attention, sensory-motor coordination, affordance knowledge, manipulation and imitation.
A video briefly showing some of the work is here. I was mainly involved in learning representations of interactions of the robot with the environment.
HANDLE: Developmental pathway towards autonomy and dexterity in robot in-hand manipulation, is a Large Scale IP project coordinated by the university Pierre and Marie Curie of Paris and include a consortium formed by nine partners from six EU countries: France, UK, Spain, Portugal, Sweden, and Germany.
The HANDLE project aims at understanding how humans perform the manipulation of objects in order to replicate grasping and skilled in-hand movements with an anthropomorphic artificial hand, and thereby move robot grippers from current best practice towards more autonomous, natural and effective articulated hands. The project implies not only focusing on technological developments but also working with fundamental multidisciplinary research aspects in order to endow the robotic hand system with advanced perception capabilities, high level feedback control and elements of intelligence that allow recognition of objects and context, reasoning about actions and a high degree of recovery from failure during the execution of dexterous tasks.
Contact studies parallelisms between learning mechanisms involved in manipulation and in speech both in humans and in robots.
This project aims to develop new algorithms for non-linear non-Gaussian continuous state spaces.