# Robot planning system resolves ambiguous tasks through exploration

_Published Monday, September 28, 2026 at 9:40 PM EDT · Robotics, AI, Science · Latest · Tier 2 — Notable_

Researchers tested a system that lets a robot investigate its surroundings while working out how to complete an underspecified spoken task. In 15 tasks across three indoor and outdoor environments, the system, called CLUE, achieved a success rate within 7 percentage points of a policy given the answers in advance.

CLUE proposes possible goals and plans, builds a map as it moves, and revises its plan after interacting with the environment. The researchers report a fourfold success advantage over a language-model planner without that feedback. The tests used a Boston Dynamics Spot and covered object identification, functional reasoning and hidden objects.

## Sources

- [cs.AI updates on arXiv.org](https://arxiv.org/abs/2609.30428)

---
Canonical: https://techandbusiness.org/newswire/grn_lHRdw5Q5jjyH5whfxa
Published: 2026-09-29T01:40:30.430Z
Story chronology: 2026-09-28T04:00:00.000Z
Retrieved: 2026-09-29T03:58:30.739Z
Publisher: Tech & Business (techandbusiness.org)