Revise ICRA experiment prose in ChatGPT
State the robot task, physical condition, measured result and caption details while scoping claims to the tested setup.
中文Install in ChatGPT
A ChatGPT workspace with skill creation enabled. Paste the fictional material below as text.
- In a ChatGPT workspace with skill creation enabled, open Plugins → Skills → Create → Create with editor.
- Create a skill in the editor and adapt the text-only `icra-writing-style` workflow from the pinned GitHub source into its instructions.
- Save the skill, then type @ in a new chat to select it and try the example.
Example task
Revise the opening and result caption from this fictional Maple seedling-sorting study.
study="Maple indoor plant sorter"; robot="tabletop arm"; task="sort potted seedlings to trays"; condition="uneven pot rims"; trials=20; baselineSuccess=14; candidateSuccess=17; measure="placements without tray contact"; figures="task photo, layout, outcome"; scope="three pot shapes"What to check
Lead with the arm sorting seedlings with uneven pot rims. Caption `success=14→17 of 20 placements; scope=three pot shapes` and define success as placement without tray contact. Limit conclusions to the specified pots.
Original SKILL.md on GitHub · Updated
Frequently asked question
How can ChatGPT check a success-rate caption for an ICRA paper?
Identify the platform, task, trial count, and success definition. Give the denominator and test conditions with the result and keep coverage limits close to the claim.