Electric wheelchairs can provide necessary help to elderly or disabled people. If the people are unable to give precise and fine steering commands, an intelligent electric wheelchair can assist the driving by implementing a collision avoidance behaviour. However, a straightforward implementation of such an algorithm is not desired as the intent of the users is not always to avoid the obstacle (if for instance they want to dock at a table or pick a book from a shelf). A possible improvement is then to provide the users with assistance adapted to their intent. The problem is then to estimate when the users actually need assistance. To solve this task, we apply here a neural network technique, Reservoir Computing, which is a new and simple yet powerful way to use Recurrent Neural Networks.
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