tud-airlab / mppi-isaac

Model Predictive Path Integral Control using isaacgym for rollouts, gpu-accelerated
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Ft add runtime obstacles #9

Closed c-salmi closed 1 year ago

c-salmi commented 1 year ago

Isaacgym environment creation and step functionality is abstracted away in a dedicated IsaacGymWrapper. This wrapper initializes environments with a set number of spherical obstacles (initialized under ground plane). When a runtime sphere obstacle is requested, the position and radius of one of the initialized obstacles is set.

Run the example point_robot_with_obstacle.py to test.