βš™οΈ AI Hardware

Why Robot Brains Still Can't Pick Up After Themselves

Vision-language models promise robot smarts, but they trip over 'where' in complex tasks. GroundedPlanBench calls their bluff β€” with real gains, or just lab tricks?

Aisha Patel πŸ“… Mar 29, 2026 ⏱️ 4 min read πŸ‘οΈ 2 views
Robot arm grasping objects with bounding boxes in cluttered kitchen scene

⚑ Key Takeaways

  • VLMs falter on spatial grounding for long robot tasks; GroundedPlanBench proves it.
  • V2GP turns demo videos into 43K training plans, boosting success rates.
  • Joint planning outperforms decoupled, but real-world scale needs more than code.

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Aisha Patel
Written by

Aisha Patel

Former ML engineer turned writer. Covers computer vision and robotics with a practitioner perspective.

#GroundedPlanBench #V2GP #VLM limitations #robot planning #spatial grounding

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Originally reported by Microsoft Research AI

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