AINEWS 2026-09-26 中/EN Search
2026-09-26 UTC+8
INDEPENDENT PERSPECTIVES.中/EN

Automatically verified and published · Generated and evidence-checked automatically; not reviewed by a human.

Back
Back

Memo releases Physical-WAM model and RoboTwin-Phys benchmarkMachine translation

量子位 AI 报道··Original publication time
AI-assisted summary

Memo released Physical-WAM, which uses physical tokens between perception inputs and action outputs to help robots estimate object properties and predict the consequences of actions. It also released RoboTwin-Phys, which adds 13 types of physical perturbations to RoboTwin; its code, dataset and leaderboard are open for third-party evaluation and replication.

Memo releases Physical-WAM model and RoboTwin-Phys benchmark

· 原发布时间
AI-assisted summary

Memo released Physical-WAM, which uses physical tokens between perception inputs and action outputs to help robots estimate object properties and predict the consequences of actions. It also released RoboTwin-Phys, which adds 13 types of physical perturbations to RoboTwin; its code, dataset and leaderboard are open for third-party evaluation and replication.

材料 0b2ba14bbdb343d6983c72d628097eb2;建议 3d718e13be5d425eb361692332888330;系统证据核验通过,非人工审稿。

Read at the original source
发现内容有误?提交纠错