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Autonomous AGV Mini Robotic Chassis
Autonomous AGV Mini Robotic Chassis with independent suspension and ROS compatibility. Powered by MD36 35W DC brush motors, it offers 1.82 m/s top speed, 45 mm obstacle clearance, and 12 kg load capacity. Compact and stable for AI, robotics, and ROS research.
Description
The Autonomous AGV Mini Robotic Chassis is a precision-engineered mobile platform built for robotics research, AI development, and ROS-based applications. Designed with a four-wheel independent suspension system, it provides exceptional ground stability and obstacle negotiation up to 45 mm. Its compact frame (580 × 530 mm) and lightweight structure (10.7 kg) make it a versatile base for autonomous systems and sensor integration.
Powered by MD36 35 W DC brush motors with a 1:27 reduction ratio, the chassis delivers smooth torque control and a maximum speed of 1.82 m/s, making it suitable for indoor and light outdoor testing. The 6-inch off-road wheels enhance traction and stability on varied surfaces, while the single-bearing motor support ensures reliable operation under continuous motion.
Built for ROS integration, this AGV chassis can be expanded with LIDAR, IMU, cameras, or other modules for advanced navigation, SLAM mapping, and path-planning experiments. It supports custom design and manufacturing, allowing tailored configurations for specific research or industrial tasks.
Key Features:
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Four-wheel independent suspension for superior shock absorption and terrain stability
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MD36 35 W DC motors with 1:27 reduction ratio for precise motion control
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Maximum speed: 1.82 m/s
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Obstacle clearance: 45 mm
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Rated load capacity: 12 kg
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Chassis weight: 10.7 kg
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Wheel size: 6 in (152 mm diameter) off-road type
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Dimensions: 580 × 530 mm
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Motor output shaft: single-bearing supported for durability
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ROS compatible for autonomous navigation and sensor integration
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Customization supported — mechanical design, electronics, and software options available
Use Cases:
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ROS and SLAM algorithm research
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Mobile robotics prototyping
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Sensor fusion and autonomous navigation testing
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Education and industrial robot development
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