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Product Description
The Humanoid Carrying Robot is built around the core architecture of “mobile chassis (legs) + robotic arms (hands) + vision/force sensing (eyes) + edge computing/AI (brain)”. It breaks through the limitations of traditional robots with single functions, achieving “anticipatory demand fulfillment” through gesture recognition, voice commands, and AR virtual teaching, replacing the conventional one-way instruction mode.
Product Features：
Multi-Modal Perception Fusion
· Environmental Perception: Integrates multiple sensors such as lidar, depth cameras, and ultrasound to achieve high-precision environmental map building, real-time positioning, obstacle detection (static/dynamic), and scene understanding.
· Operational Perception: Utilizes vision for target recognition, pose estimation, and precise positioning; torque sensors enable accurate force control, compliant operation, collision detection, and safe response.
· Fusion Algorithm: Spatio-temporally synchronizes, correlates, and fuses heterogeneous data from different sensors through algorithms to generate more accurate state and task status information.
Intelligent Decision-Making and Planning
· Task Planning: Decomposes complex tasks into executable sub-task sequences based on task objectives, environmental state, and self-capabilities.
· Path Planning: Real-time planning of safe, efficient, collision-free mobile paths and manipulator trajectories in complex dynamic environments, considering dynamic obstacle prediction and avoidance.
· AI-Driven Decision-Making: Applies machine learning, computer vision algorithms, and embodied intelligence multi-modal large models (VLA) to enhance environmental understanding, task generalization, and anomaly handling.
High-Precision Motion Control
· Mobile Platform Control: Achieves precise positioning and navigation, stable movement, dynamic obstacle avoidance, and path tracking.
· Manipulator Control: Enables high-precision point-to-point motion (PTP), continuous path motion (CP), force-position hybrid control, compliant assembly, etc.
Modular and System Integration
· Hardware Modularity: Mobile platform, robotic arms, end-of-arm tooling (EOAT), sensor modules, etc., adopt standardized interface designs for easy on-demand configuration, replacement, and upgrades.
· Software Architecture: Employs a layered, decoupled architecture design that supports flexible combination of functional modules and secondary development.
Technical Parameters:
Dimensions 900*626*1650mm
Weight 2000Kg
Working Height 800mm
Chassis Type Four-leg base
Linear Movement Speed 1m/s
Rotation Speed 6.76rad/s
Travel Mode Wheeled
Ambient Temperature 0-45°C
Charging Mode Wireless charging (manual charging)
Battery Capacity 2.5kWh high-energy-density battery pack
Endurance Time 6 hours
End-Effector Type Support expansion
Humanoid Carrying Robot
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Products Category
Product Description
The Humanoid Carrying Robot is built around the core architecture of “mobile chassis (legs) + robotic arms (hands) + vision/force sensing (eyes) + edge computing/AI (brain)”. It breaks through the limitations of traditional robots with single functions, achieving “anticipatory demand fulfillment” through gesture recognition, voice commands, and AR virtual teaching, replacing the conventional one-way instruction mode.
Product Features：
Multi-Modal Perception Fusion
· Environmental Perception: Integrates multiple sensors such as lidar, depth cameras, and ultrasound to achieve high-precision environmental map building, real-time positioning, obstacle detection (static/dynamic), and scene understanding.
· Operational Perception: Utilizes vision for target recognition, pose estimation, and precise positioning; torque sensors enable accurate force control, compliant operation, collision detection, and safe response.
· Fusion Algorithm: Spatio-temporally synchronizes, correlates, and fuses heterogeneous data from different sensors through algorithms to generate more accurate state and task status information.
Intelligent Decision-Making and Planning
· Task Planning: Decomposes complex tasks into executable sub-task sequences based on task objectives, environmental state, and self-capabilities.
· Path Planning: Real-time planning of safe, efficient, collision-free mobile paths and manipulator trajectories in complex dynamic environments, considering dynamic obstacle prediction and avoidance.
· AI-Driven Decision-Making: Applies machine learning, computer vision algorithms, and embodied intelligence multi-modal large models (VLA) to enhance environmental understanding, task generalization, and anomaly handling.
High-Precision Motion Control
· Mobile Platform Control: Achieves precise positioning and navigation, stable movement, dynamic obstacle avoidance, and path tracking.
· Manipulator Control: Enables high-precision point-to-point motion (PTP), continuous path motion (CP), force-position hybrid control, compliant assembly, etc.
Modular and System Integration
· Hardware Modularity: Mobile platform, robotic arms, end-of-arm tooling (EOAT), sensor modules, etc., adopt standardized interface designs for easy on-demand configuration, replacement, and upgrades.
· Software Architecture: Employs a layered, decoupled architecture design that supports flexible combination of functional modules and secondary development.
Technical Parameters:
Dimensions 900*626*1650mm
Weight 2000Kg
Working Height 800mm
Chassis Type Four-leg base
Linear Movement Speed 1m/s
Rotation Speed 6.76rad/s
Travel Mode Wheeled
Ambient Temperature 0-45°C
Charging Mode Wireless charging (manual charging)
Battery Capacity 2.5kWh high-energy-density battery pack
Endurance Time 6 hours
End-Effector Type Support expansion
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