humanoid
High-Tech Humanoid Robot Providing Real-Time Planetarium Star Map Updates
Overview
This high-tech humanoid robot provides real-time planetarium star map updates, offering an innovative and interactive way to enhance the visitor experience.
Key facts
- Weight
- 73 kg
- Mobility
- bipedal
- Maturity
- prototype
Detailed specifications
Motion & kinematics5
- Hand Dof
- 22
- Dof Total
- 28
- Dof Per Arm
- 7
- Dof Per Hand
- 22
- Force Torque Sensors
- wrist_only
Power & battery1
- Charge Time Hours
- 2
Sensors1
- Sensor Suite
- high-definition camera, lidar
Compute2
- Ros Compatible
- true
- Onboard Compute
- NVIDIA AGX Orin 275 TOPS
Safety & certifications2
- Grip Force N
- 200
- Safety Certification
- High-tech Enterprise Certificate, Guangdong Independent Innovation Demonstration Enterprise
Other30
- Height Mm
- 1727.2
- Price Tier
- <10K
- Applications
- hospitality, teleoperation
- Sub Category
- bipedal
- Api Available
- true
- Mobility Type
- bipedal
- Pricing Model
- purchase
- Operating Temp
- 0°C to 45°C
- Stair Climbing
- production_ready
- Warranty Years
- 1
- Company Country
- CN
- Navigation Type
- lidar_slam
- Processing Tops
- 275
- Tactile Sensing
- fingertip_only
- Deployment Count
- 10000
- Deployment Notes
- Deployed in various settings including government, banks, hospitals, hotels, and restaurants.
- Humanoid Subtype
- full_bipedal
- Walking Speed Ms
- 1.5
- Country Of Origin
- JPN
- Industries Served
- retail, smart city
- Is Research Grade
- true
- Terrain Capability
- flat_indoor, mild_incline
- Availability Status
- available
- Deployment Maturity
- prototype
- Lifting Capacity Kg
- 20
- Primary Applications
- research_development
- Programming Interface
- code_python, no_code_gui
- Additional Information
- - Popular with visitors due to its engaging design and functionality. - Can conduct multiple cruise explanation tasks autonomously. - Enhances visitor experience while reducing staff workload in exhibition settings. - Recognized for its excellent obstacle avoidance capabilities.
- Deployment Environment
- indoor
- Human Detection Method
- vision_human
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