From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
📰 ArXiv cs.AI
FSD bridges reasoning and decision for robotic manipulation, improving zero-shot performance in unseen scenarios
Action Steps
- Propose FSD framework to address limitations of current Vision-Language-Action models
- Develop embodied datasets to overcome scarcity and heterogeneity
- Implement FSD to achieve robust zero-shot performance in robotic manipulation tasks
- Evaluate FSD's performance in various scenarios and tasks
Who Needs to Know This
Robotics engineers and AI researchers can benefit from FSD to improve robotic manipulation tasks, particularly in novel and unseen scenarios
Key Insight
💡 FSD improves zero-shot performance in robotic manipulation by bridging reasoning and decision-making
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🤖 FSD bridges gap between vision and action in robotic manipulation #AI #Robotics
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