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#object-manipulation News & Analysis

2 articles tagged with #object-manipulation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Apr 77/10
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Learning Dexterous Grasping from Sparse Taxonomy Guidance

Researchers developed GRIT, a two-stage AI framework that learns dexterous robotic grasping from sparse taxonomy guidance, achieving 87.9% success rate. The system first predicts grasp specifications from scene context, then generates finger motions while preserving intended grasp structure, improving generalization to novel objects.

AIBullisharXiv – CS AI · Mar 47/103
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Learning Object-Centric Spatial Reasoning for Sequential Manipulation in Cluttered Environments

Researchers developed Unveiler, a robotic manipulation framework that uses object-centric spatial reasoning to retrieve items from cluttered environments. The system achieves up to 97.6% success in simulation by separating high-level spatial reasoning from low-level action execution, and demonstrates zero-shot transfer to real-world scenarios.