AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Claire Radar

WatchAct

WatchAct evaluates robot manipulation from observed human behavior. Each instance pairs a human-action video and a language instruction with an aligned simulator scene and an executable LIBERO task. It covers 3,000 long-horizon instances across 14 tasks in four capability domains: Event Grounding, Procedural Reasoning, Implicit Intent Inference, and Episodic Reasoning. The evaluation protocol separately measures video-to-plan reasoning, policy execution under oracle plans, and full task completion, in simulation and on a Franka Research 3 robot.

Evidence available for this benchmark

Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.

Start with these resources

Cited documents and dates (1)

Catalog collected on 2026-10-14; resources and fields reflect that saved source.

Recorded attention

Observed on: 2026-10-13

GitHub stars
4

baiqi-li/watchact · View source snapshot

Dated attention observations, not live counts or benchmark scores.

Evaluation context and evidence

Source
Claire Radar
Publisher
Not recorded
Benchmark release
2026-06-24
Collected
2026-10-14
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.