Sign inGet started
Paper · arXiv

RoboPlayground: Democratizing Robotic Evaluation through Structured Physical Domains

Evaluation of robotic manipulation systems has largely relied on fixed benchmarks authored by a small number of experts, where task instances, constraints, and success criteria are predefined and difficult to extend. This paradigm limits who can shape evaluation and obscures how policies respond to user-authored variations in task intent, constraints, and notions of success. We argue that evaluating modern manipulation policies requires reframing evaluation as a language-driven process over structured physical domains. We present RoboPlayground, a framework that enables users to author executable manipulation tasks using natural language within a structured physical domain. Natural langua...

AuthorsYi Ru Wang, Carter Ung, Evan Gubarev et al.
Primary categorycs.RO
Published6 April 2026
Last updated at source6 April 2026
cs.ROcs.AIcs.CLcs.HC
Embed this entry
<iframe src="https://silytics.si/embed/item/c5116081-e2a6-476d-ac58-f2876f8ef2dc" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.