Descrizione del progetto
FET - Open
The main objective of the MAIA project is to develop a non-invasive direct brain-computer interface (BCI) that determines the subject's voluntary intent to do primitive motor actions on the order of milliseconds and conveys this intention to a robot that will implement the necessary low-level details for achieving complex tasks. To attain this goal we will take a radical departure from current assumptions and approaches in BCI. In particular, we will follow five innovative principles: - recognition of the subject's motor intent from the analysis of high resolution brain maps, which estimates intracranial potentials from scalp EEG, what would facilitate scaling up the number of mental commands and increasing recognition speed; - adaptive shared autonomy between two intelligent agents-the human user and the robot-so that the user only gives high-level mental commands that the robot performs autonomously; - use of haptic feedback to the user to accelerate training and facilitate accurate control; - recognition of brain events associated to high-level cognitive states, such as error recognition and alarm, to increase the reliability of the brain-actuated robots; - on-line adaptation of the interface to the user to keep the BCI constantly tuned to its owner. These principles will be demonstrated in three applications, which will be used to measure the S&T objectives of the MAIA project. The three demonstrations are: - driving a wheelchair in an indoor environment; - controlling a robot arm for reaching and manipulation tasks; - handling emergency situations after recognizing the subject's alarm state (e.g. braking the vehicle or retracting the robot arm).
Argomento(i)
Invito a presentare proposte
FP6-2002-IST-C
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