Research and development cart robot/AGV: This is a four-wheel drive cart robot based on the JetBot project proposed by NVIDIA.
Development on the Jetson Nano can be conducted using Jupyter Notebook, a web browser-based development and analysis tool. It can be utilized in a wide range of fields as a learning tool for GPU computing, as well as a base platform for research, development, and implementation that combines information processing with the driving performance of large cart robots. This product features mecanum wheels as the driving wheels. In addition to moving forward and backward and turning left and right, it is also capable of lateral movement, making it particularly well-suited for body control using object recognition. Its ability to handle delicate control, such as slight position adjustments and precise approaches to targets, is a notable characteristic. By enabling modern information processing technologies, such as object recognition using machine learning, to be output immediately to practical large cart robots rather than being confined within a computer, it serves as an effective tool for rapid research and development with implementation in mind.
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basic information
【Product Specifications】 ■Size: 398(L)×349(W)×166(H)mm ■Load Capacity: 40kg ■Body Material: Aluminum ■Battery: 12V Sealed Lead Battery 312Wh ■Drive System: Four-wheel drive with mecanum wheels and suspension ■Tire Diameter: 152mm ■Motor: DC Motor 40W×4 ■Rotation Detection: Encoder ■Maximum Speed (Measured Value): 1.3m/s ■Control Board: VS-WRC051 ■Order Options: Bumper Sensors (front and rear, left and right), Laser Range Finder, Emergency Stop Switch, Wireless Charging Option *This product is for indoor use only. Outdoor use is not anticipated. Additionally, product specifications are subject to change without notice.
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Applications/Examples of results
【List of Purchase Options】 By requesting at the time of your order, we will ship the product with the options installed. Please note that installation will take some time, so please inquire in advance. - Bumper Option This is a bumper sensor that can detect collisions with walls and other objects. - Surround Bumper Option This is installed around the entire robot and can detect collisions even during lateral movement. - LRF Option An LRF that detects obstacles around the body will be installed. - Emergency Stop Switch Option An emergency stop switch can be installed at the back of the cart body. - Wireless Charging Option This is a paid option that adds wireless charging functionality at the time of ordering the main unit. 【Use Cases】 Research and development robots, cart robots, two-wheel drive robots, autonomous driving robots, transport robots, AGVs, etc. *For more details, please feel free to contact us.
Detailed information
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The Jetson Nano mounted on the JetBot Mecanum offers a powerful GPU in addition to a standard CPU. The JetBot project, proposed by NVIDIA, leverages this computational power to facilitate easy learning and implementation of modern computing, such as object recognition using deep learning. The JetBot Mecanum is suitable for experiencing and implementing technologies referred to as modern AI, as it can utilize the web browser-based programming environment Jupyter Notebook and official sample sources used in the JetBot project. Sample sources for lateral movement using Mecanum wheels are also provided.
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The JetBot Mecanum adopts the well-received "Mecanum Rover" as its base vehicle. It has a payload capacity of approximately 40 kg and a maximum speed of 1.3 m/s, making it a notably large chassis for the JetBot project. Additionally, by equipping it with four Mecanum wheels, it can move forward and backward, turn left and right, and move laterally, accommodating the diverse and precise control required for autonomous mobile platforms. Since the processing results from the Jetson Nano's GPU can be reflected in this large robot, it is suitable not only for simple programming learning but also for serious development aimed at practical applications. Furthermore, the battery-powered operating time under no load is approximately 21 hours, providing sufficient availability. *Note: The battery operating time is a design value under standard conditions when not using the Jetson Nano. The actual battery operating time may vary significantly depending on practical circumstances.*
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By using the gamepad-style wireless controller "VS-C3" included with this product, you can wirelessly control the JetBot Mecanum without connecting to a PC or similar device. Please note that this function connects to the control board VS-WRC051, not the Jetson Nano, so the signals from the VS-C3 cannot be recognized by the Jetson Nano.
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Company information
Vstone Co., Ltd. is a manufacturer that develops and produces communication robots, bipedal robots, research and development robots, and robot sensors. In addition to launching the world's first home-use bipedal robot kit "Robi M," the company has achieved five consecutive victories at the RoboCup World Championship, demonstrating its solid technological capabilities. In recent years, Vstone has also developed comprehensive technologies for building not only the hardware of communication robots but also software and cloud infrastructure, continuously releasing various products aimed at realizing a society where humans and robots coexist.
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