Customization: | Available |
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Application: | for Collection and Model Training |
Control Mode: | Continuous Path Control |
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The RealMan dual-arm lifting compound robot platform is designed to provide a powerful training platform for robot education. The platform is fully independently developed and implements robot mapping navigation, path planning, robot arm kinematics, dynamics, trajectory planning, visual recognition, and other algorithms and applications, providing an open software framework to support teaching and scientific research.
The platform integrates various humanoid functional devices such as mobile chassis, deep vision, voice module, ultra-light humanoid robot arm, five-finger dexterous hand, two-finger gripper, etc. At the same time, ultrasonic, laser radar, and visual sensors installed on the mobile chassis make the platform safer and smarter.
Standard Configuration
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Machine parameters
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Configuration items
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quantity
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category
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parameter
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Master control Jetson AGX Orin
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1
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Dimensions
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640*450*1700mm(Folded)
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Robotic arm RM65-B-V
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2
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The weight of the whole machine
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Approximately 90kg
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Binocular vision D435
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3
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Scope of work
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Up and down: 0-2200mm, left and right 0-1900mm, forward 0-600mm
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RGB monitoring camera
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2
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Lithium iron phosphate battery
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DC48V 20AH
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Two-finger parallel gripper RMG24
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2
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Lifting column
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1
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Mobile chassis
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1
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Compact & Flexible - Ultra-small size (Ø11.5cm arm, 11cm base), fits tight spaces with humanoid arm dimensions.
Open & Compatible - Supports C/C++/C#/Python, Windows/Linux/ROS, and multiple communication protocols.
Modular Design - Integrated and easy to assemble/disassemble, lowering maintenance and boosting efficiency.
Safe & Smart - Drag-to-program, real-time collision detection with torque limit stop for safety.
Built-in Controller - No external control cabinet needed; controller is integrated inside the arm.
Low Power Usage - Runs on DC 24V, full-load ≤200W, average ≤100W, ideal for mobile or outdoor use.
Wireless Control - Supports wired and wireless smart terminal control, cable-free and convenient.