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HarvestPoint-ACT achieves an impressive 88% success rate in robotic fruit harvesting, even under challenging occlusion scenarios.
BLS cuts assembly planning time in half while ensuring collision-free execution, transforming how robots approach complex assembly tasks.
Smooth, informative gradients for regrasp planning are now possible, thanks to a novel energy-based model that treats grasp feasibility as a continuous landscape.