Overview
KUAVO 3.0 is an advanced humanoid robot developed by Leju Robotics, designed to excel in mobility, adaptability, and embodied intelligence for a wide range of commercial, industrial, and research applications. Standing approximately human-sized, KUAVO 3.0 features 26 degrees of freedom with 14 DOF in the arms and 12 DOF in the legs, powered by self-developed high-torque joints capable of delivering up to 360 Nm torque and running at 150 rpm. The robot supports omnidirectional bipedal walking at speeds up to 4.6 km/h and can traverse diverse terrains such as sand, grass, and obstacles, even performing jumps up to 20 cm high. It integrates Huawei’s KaihongOS, based on the open-source OpenHarmony system, enabling open-source motion control with trajectory planning, feedback control, and state estimation. KUAVO 3.0 leverages AI large models, including Huawei’s Pangu embodied intelligence, for rapid learning, adaptive behavior, and personalized interaction.
Key facts
- Payload
- 10 kg
- Reach
- —
- Speed
- —
- Weight
- 60 kg
- IP rating
- —
- Battery
- 7 h
- Power
- —
- Autonomy
- —
- Launch year
- —
- Price
- $30,000
- Status
- active
Detailed specifications
Motion & kinematics4
- Hand Dof
- 10
- Dof Total
- 26
- Dof Per Arm
- 14
- Dof Per Hand
- 10
Sensors1
- Sensor Suite
- depth_camera
Compute1
- Onboard Compute
- Embedded platform with KaihongOS
Other15
- Height Mm
- 1750
- Price Tier
- 30-40K
- Applications
- smart_home, industrial_manufacturing, public/commercial_service, smart_healthcare, research
- Datasheet Url
- https://www.lejurobot.com/en
- Pricing Model
- purchase
- Company Country
- CN
- Navigation Type
- hybrid
- Deployment Notes
- Collaborates with leading institutions and enterprises for real-world deployments.
- Walking Speed Ms
- 4.6
- Industries Served
- healthcare, manufacturing, education
- Availability Status
- available
- Lifting Capacity Kg
- 20
- Programming Interface
- code_ros, proprietary_app
- Additional Information
- - Efficient learning through behavior digitization and imitation learning. - Aimed at applications in intelligent guidance and shopping assistance. - Supports personal tutor and Q&A systems to enhance learning costs and efficiency.
- Deployment Environment
- both
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