Yahboom Transbot ROS AI Robot for Jetson NANO 4GB with High Definition Camera and 3-DOF Robotic Arm(With Jetson Nano Board)

YahboomSKU: RM-YAHB-07F
Manufacturer #: YB-A236

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Sale price $1,603.43

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Stock  :
In stock (500 units), ready to be shipped

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  • Based on ROS (robot operating system) and Python programming.
  • The whole car is made of green aluminum alloy oxide material, supports install robotic arm, 2DOF camera pan/tilt and so on.
  • Wonderful AI functions: Lidar avoiding, fixed-point navigation, bone detection, finger following, camera calibration, 3D visual mapping navigation, etc.
  • Support cross-platform interconnection control.
  • We provide online electronic tutorials in both Chinese and English, including documentation, videos, and some open-source code.

【Select Version】Transbot has Jetson Nano version and Raspberry Pi version, the only difference is that NVIDIA Jetson Nano B01 motherboard equipped with a quad-core cortex-A57 processor, 128-core Maxwell GPU and 4GB LPDDR memory brings enough Al computing power, provides 472GFLOP computing power, and supports a series of popular Al frameworks and algorithms, such as TensorFlow, Pytorch,caffe/caffe2, Keras, MXNET, etc.

【High-End Hardware】 All versions come with an attention-grabbing all-aluminum alloy tracked chassis design, and options for either an aluminum alloy 2DOF HD camera or a depth camera. Additionally, they are equipped with a laser radar, a 3-DOF serial bus mechanical arm, and a precise 520 encoding speedometer. The highest configuration version can handle payloads up to 7kg and is complemented by a full aluminum alloy outer casing.

【Limitless Function Development】 Transbot supports a wide range of functionalities, including laser radar scanning, and Cartographer mapping algorithms, TEB and DWA path planning. Users can also remotely control the robot through jupyter lab, utilize ROS image transmission and control, as well as publish IMU and odometer data. Furthermore, Transbot supports OpenCV applications and tutorials, offering endless possibilities for advanced functionalities and applications.

【Cross-platform Interconnection Control】Robot can be programmed or controlled in 4 ways, ① Mobile remote control APP integrated with a variety of AI functions, ② handle control that can experience the FPV real-time visual effects, ③ JupyterLab online programming and ④ professional robot operating system control, a variety of control methods to meet different occasions,in-depth experience of the fun of controlling robots。

【Courses and Technical Support】We provide online electronic tutorials in both Chinese and English, including documentation, videos, and some open-source code.

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