A potential field grid representation enables RL-based robotic throwing policies to generalize across arbitrary obstacle configurations, achieving up to 90% success on a real robot.
Robotic pick-and-toss facilitates urban waste sorting,
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Learning to Throw Objects Safely in Multi-Obstacle Environments
A potential field grid representation enables RL-based robotic throwing policies to generalize across arbitrary obstacle configurations, achieving up to 90% success on a real robot.