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.
Mvgrasp: Real-time multi-view 3d object grasping in highly cluttered environments,
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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.