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I have tried to train a low-speed (1.5 m/s) flight model in the forest, I find that the predicted trajectory provided by the network is not symmetric. It always tries to avoid the obstacles by turning left, even if an obstacle is already in the left front of the robot.
Are there some ideas to address this problem?
Thank you!
The text was updated successfully, but these errors were encountered:
I have tried to train a low-speed (1.5 m/s) flight model in the forest, I find that the predicted trajectory provided by the network is not symmetric. It always tries to avoid the obstacles by turning left, even if an obstacle is already in the left front of the robot.
Are there some ideas to address this problem?
Thank you!
The text was updated successfully, but these errors were encountered: