Signals 4 · free daily AI digest

RAPID: Robot Agentic Programming from Demonstrations

Paper recorded by Signals 4 on 2026-09-24 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-24 on arXiv · recorded by Signals 4 on 2026-09-25

Category: cs.AI · 人工智能 · first seen 2026-09-25

Abstract

Coding agents have demonstrated enormous success in solving complex programming problems. To leverage their potential for robot systems, this work introduces Robot Agentic Programming from Demonstrations (RAPID), which automatically generates, verifies, and refines robot programs, given a single visual human demonstration. The iterative agentic loop of code refinement requires several key ingredie

Read on arXiv →

#3 most recent of 400 cs.AI papers we have recorded · ↑ newer: AD-WM: Action-Discriminative World Models for Counterfactual Model Pre · ↓ older: Rolling-WAM: World Action Models with Rolling Imagination

Cite this page: RAPID: Robot Agentic Programming from Demonstrations: the #3 most recent of 400 cs.AI papers we have recorded (as of 2026-09-24). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rapid-robot-agentic-programming-from-demonstrations.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

Related: More cs.AI papers · arXiv signals · All papers · Today in AI

Get 4 AI signals a day by email — free.

Subscribe free → See all plans →

Get 4 AI signals a day by email — free

All models · All repos · By company · Daily editions