AIBullisharXiv – CS AI · 9h ago6/10
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Sample-efficient Low-level Motion Planning for Robotic Manipulation Tasks via Zero-shot Transfer Learning
Researchers propose iCEM+TL, a framework combining the Cross-Entropy Method with transfer learning to improve robotic manipulation planning efficiency. The approach achieves up to 23% success rate improvements in complex tasks like stacking and shelf placement, with validation demonstrated on a real Franka Emika robot.