Primotion's Paimon-0 tops several embodied-AI benchmark leaderboards
On October 16, robot-chip startup Primotion (炎曦动力) published results for its in-house embodied foundation model Paimon-0, saying it ranks first on RoboCasa365 with a composite score of 58.1, first on VLA-Arena with a 0.73 average success rate, first overall on RoboColiseum including all four sub-leaderboards (instruction following, spatial understanding, perturbation adaptation, general manipulation), and first at the IROS Workshop Challenge with 46.599 points. The company also said it has signed intent purchase orders worth nearly 100 million yuan with several firms, covering multi-chip robot domain-control solutions and embodied-model solutions. The report describes Paimon-0 as a hierarchical asynchronous World Action Model that unifies vision, language, robot state and actions in one representation and runs reasoning and action generation asynchronously at different time scales. The leaderboard results are cited by the vendor, and the report offers no independent reproduction or third-party measurement.
Primotion says reaching SOTA on the model is a stepping stone for understanding robot compute needs and refining its chip solution, while its own chip remains in early-stage development.
一家成立仅3个月的机器人芯片企业，先在具身模型榜单上拿下了多个第一。
10月16日，炎曦动力（Primotion）公布首个进展：自研具身基座模型Paimon-0在RoboColiseum、RoboCasa365、VLA-Arena等多项公开评测中位列榜首，同时已与多家企业签署总金额达近亿元的意向采购订单。
一家芯片公司，为什么要先赢模型榜？炎曦动力的回答是：若要把端侧AI芯片做成一款优质的硬件产品，算法应成为芯片解决方案的一部分。
这家聚焦“具身原生芯片”的公司，提出“更强的云，需要更强的端”的判断，其布局与英伟达遵循着相似的平台化逻辑和联发科的turnkey（交钥匙）工程交付意图：通过模型、运行时系统和计算硬件的协同研发，目标打造面向机器人企业的具身原生本体计算平台。
正文：
在英伟达近期的机器人布局中，模型与软硬件协同推进已有具体体现。今年6月，英伟达发布Isaac GR00T人形机器人参考设计，将宇树H2 Plus本体、Sharpa灵巧手、Jetson Thor计算平台，以及GR00T开放软件和其自研模型整合在一起，为机器人开发提供从数据采集、训练、评估到部署的完整路径。
#Primotion#Paimon-0#RoboCasa365#VLA-Arena#RoboColiseum#IROS Workshop Challenge#Nvidia Isaac GR00T#Jetson Thor#Nvidia#LG