LingBot-VLA 2.0 开源具身模型，覆盖多机器人60K小时数据
Why we picked it
开源、60K小时数据、覆盖多种机器人，LingBot-VLA 2.0 在长周期任务上表现出色，值得研究具身智能的你看一看。
LingBot-VLA 2.0 是全新开源具身模型，在单臂机器人到人形平台等多样化配置上训练。
Body
模型整合了60K小时精选机器人与人类数据，形成通用策略。在复杂长周期任务中显著提升机器人性能。
由 @robbyant_brain 团队发布。
Original · elvis
LingBot-VLA 2.0 is an impressive new embodied model. Open source and is trained across diverse robot configurations, from single-arm robots to humanoid platforms. It packs 60K hours of curated robot and human data into one generalist policy. It improves robots on difficult long-horizon tasks. Great release by @robbyant_brain .
Industry Coordinates & Source Verification
This report is categorized under AITOP's "Models" desk. Key entities and technical topics under continuous tracking include LingBot-VLA 2.0, 开源模型, 具身智能, 机器人.
Source attribution: curated from elvis (@omarsar0).
