无本体数采
新一代通用轮式仿人形机器人，搭载全球首个基于世界统一模型（World Unified Model）架构的具身智能基础模型 WALL-B，具备自主感知、决策与行动能力，支持真实物理世界跨模态推理；硬件配置包含2D激光雷达、超声波传感器、RGBD相机、单点TOF及BEV环视摄像头。
Primary use case: 多场景智能机器人一体化解决方案：居家服务、科研教育、商业清洁、物流分拣
Specifications
Physical
Locomotion
wheeled
Manipulation
Hand Type
高自由度仿人五指灵巧手 (ArtiXon Hand)
Power & Autonomy
Autonomy Level
unknown
AI & Compute
AI Capabilities
原生多模态融合（从VLA到原生多模态融合架构，单模型适配全模态、全任务）, 物理世界规律的理解与零样本泛化, 主动交互与自我进化, 自主感知-决策-行动, 真实物理世界跨模态推理, 强泛化性与适应性, 具身少样本学习与跨任务迁移, 强化学习与长序列复杂操作训推泛化
Commercial
Availability
unknown
Primary Use Case
多场景智能机器人一体化解决方案：居家服务、科研教育、商业清洁、物流分拣
Related news
The China humanoid shakeout begins: 150 companies at risk
D-Robotics just raised $400M to build the brain inside your next robot
Race for the robot ‘brain’: China’s embodied AI funding surges fivefold in H1 - 联合早报
Race for the robot ‘brain’: China’s embodied AI funding surges fivefold in H1 - 联合早报
Startup Launches Humanoid Robot for Under $30,000
Feather Robotics Inc., a startup based in East Palo Alto, CA, has launched a humanoid robot called Feather with a starting price of $29,990. The two-armed mobile humanoid is designed as an open platform for physical AI, with each arm offering seven degrees of freedom, omnidirectional wheeled base, 10 hours of battery life, and an open SDK. Unlike competitors such as Figure, Tesla, Unitree, Agibot, and 1X that build both humanoid bodies and AI foundation models, Feather offers only the body, letting customers run models from Nvidia, Skild, or Physical Intelligence on it.
Boston Dynamics unveils new four-finger hand for Atlas humanoid robot
Boston Dynamics unveiled a new four-finger hand for its Atlas humanoid robot, featuring 13 degrees of freedom including a four-DOF opposable thumb and dense tactile pressure sensors. The design was optimized for complex manipulation tasks such as in-hand object reorientation, slip recovery, and tool operation including drills, grinders, and welding torches. The company deliberately chose four fingers over a five-finger human-like hand to reduce cost, size, and failure points while maintaining the dexterity needed for industrial work.
