Learning how to walk

Our movement originates in the brain. Many neurological disorders, such as Cerebral Palsy, Multiple Sclerosis, or strokes can lead to problems with walking. Treatments are often symptomatic, and it’s often hard to predict outcomes of surgeries. Understanding underlying mechanisms is key to improvement of treatments. This motivates our efforts to model the motor control unit of the brain.

In this challenge, your task is to model the motor control unit in a virtual environment. You are given a musculoskeletal model with 18 muscles to control. At every 10ms you send signals to these muscles to activate or deactivate them. The objective is to walk as far as possible in 5 seconds.

For modelling physics we use OpenSim - a biomechanical physics environment for musculoskeletal simulations. You can read more datails here.

NOTE : There have been a few changes to the API of the grading server. Please update your osim-rl installation by : pip install git+https://github.com/kidzik/osim-rl.git and update your submission script by referring to : (https://github.com/stanfordnmbl/osim-rl/blob/master/scripts/submit.py#L43)[https://github.com/stanfordnmbl/osim-rl/blob/master/scripts/submit.py#L43] In the meantime if you run into scary looking error messages when using your previous submission scripts, please do not panic !! :D :D !!

Credits

This challenge wouldn’t be possible without:

For more details and queries please contact

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