A pair of co-designed, three-finger, nine-DoF dexterous manipulation interface: one wearable for data collection, one for robot deployment.
2026.09.02
A generative world model for action-controllable, long-horizon robotic simulation. Built on next-scale autoregression with scale-compressed streaming memory and on-policy alignment, it generates visual futures in a coarse-to-fine manner, achieving calibrated task outcomes and consistent policy rankings across 600+ matched sim-to-real closed-loop rollouts.
2026.08.27
A training-free framework that enables robots to acquire new manipulation skills in seconds from a single human video while retaining previously mastered capabilities.
2026.08.03
A multimodal action tokenizer that doubles as a semantic interface between vision-language reasoning and continuous robot control.
2026.06.30
XRZero-G0 is an embodied data acquisition and strategy learning system designed through deep collaboration between hardware and software. It aims to overcome the fundamental bottleneck of acquiring high-quality, motion-aligned demonstration data in the field of dexterous robot operation.
2026.06.10
Carving World Action Modeling at Their Event Joints
2026.05.29
fully open-source, trained with gradient-bridged co-training, and deployable on real robots straight from pretraining.
2026.05.28
An end-to-end embodied foundation model that leverages large-scale multimodal pretraining to achieve (1) embodiment-aware vision--language understanding, (2) strong language--action association, and (3) robust manipulation capability.
2025.09.08
自变量机器人致力于研发由端到端大模型驱动的通用机器人，聚焦具身大模型的通用性与泛化能力，是国内具身智能基础模型的标杆企业，
2026年发布全球首个世界统一模型，并自主研发、持续优化原生适配基础模型控制的机器人本体。
公司自研“数据采集-大模型算法-核心零部件-硬件本体”，实现全栈闭环，目前已率先在家庭、
物流等真实场景实现通用具身智能技术的落地，
长远目标是构建能够精细操作的通用智能机器人。
关于我们
围绕自研的 WALL-A 操作大模型，
实现从感知、理解到动作控制的全流程智能统一。
彻底突破传统机器人依赖规则与编程的局限，
实现在复杂环境中的高精度、自主化作业。
新一代通用轮式仿人形机器人
了解详情通用轮式双臂机器人
QUANTA X1 PRO
新一代具身轮式仿人形机器人
QUANTA X2
高自由度仿人五指灵巧手
ArtiXon Hand
围绕自研的 WALL-A 操作大模型，实现从感知、理解到动作控制的全流程智能统一，
彻底突破传统机器人依赖规则与编程的局限。实现复杂环境中的高精度、自主化作业。
