Yadnesh Salvi

Story · Semantic Scholar

Revisiting the "Push-T" Robot Manipulation Task with Agentic Robotics (Semantic Scholar)

paper · Story page

Prompted with no demonstration data, Claude Code with Fable 5 wrote a policy for the Push-T manipulation benchmark. The paper reports 100% success with 46% fewer steps than the best diffusion policy trained on 200 human demonstrations, plus extensions to Push-A through Push-Z and 3D arm simulations.

In plain words

  • A coding system created its own solution for pushing a T-shaped block into position without seeing human examples.
  • It found an online two-dimensional simulation, tested pushing strategies, and repeatedly improved its instructions for controlling the block.
  • The study reports 100% success using 46% fewer steps than a method trained on 200 human demonstrations.
  • The result suggests robot control methods may be developed through simulation instead of requiring recorded human demonstrations.

Appeared in

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