New arrival XR J1 Hexapod Bionic smart programmable robot with Jetson Nano

The XR Hexapod J1 bionic intelligent programmable robot is developed based on the NVIDIA Jetson Nano platform. Through the inverse kinematics algorithm, it can vividly imitate the movement gait of hexapod creatures in nature, which is very interesting.

XR Hexapod Programmable Robot Features

The XR Hexapod J1 robot realizes wireless remote control through the machine's built-in WiFi and uses an APP to control it. You can install the APP on your Android/iOS mobile phone or tablet device for control, or you can control it through a PS2 controller.

Support PC, Android/iOS Mobile phone, PS2 handle remote control.

This product has a video image transmission function, which can transmit the video images collected by the robot's eyes (720p HD camera) to the control terminal for display in real time, allowing you to see the world from the robot's perspective.

Real-time video transmission

The XR Hexapod J1 robot can simulate 18 kinds of bionic gait actions such as forward, backward, left and right, rotation, translation, diagonal movement, dance, and climbing of six-legged creatures. It also has 12 interesting actions built-in, which is very It is suitable for science popularization museums, campus science and technology festival science display and performance activities, robot racing competitions, robot skills competitions and other events.

Built-in 12 actions
Built-in 12 actions

The XR Hexapod J1 robot also has AI machine vision functions, which can realize artificial intelligence features such as visual tracking, visual recognition of colors, visual recognition of faces, visual recognition of QR codes, etc.

AI functions

This product also provides secondary development SDK code and an open API for users to call. Secondary development uses Python, a widely popular programming language in the maker community. You only need to simply learn the basic programming operations of Python and you can easily get started with the secondary movements of this robot. After this development, it can be used as an artificial intelligence laboratory training platform for majors in electronic information, artificial intelligence, Internet of Things, computers, automation, etc. in secondary and higher education institutions.

The attached courses will start with an introduction to basic robot parameters, and will guide you through the robot's motion control, secondary development environment construction, Python source code analysis, and robot kinematics/inverse kinematics knowledge. It is both educational and entertaining, allowing you to learn from playing. Learn valuable robotics knowledge in high school.
The product is programmed using Python language, and provides secondary development source code SDK and supporting course materials, making it easy to get started with practical training and development.
Key technologies: Python/hexapod bionics/kinematics algorithm/inverse kinematics algorithm/Jetson Nano

 Parameter name Parameter details
Size 300X300X250 mm (standby standing position)
Weight  3.2kg
Main control Jetson Nano Quad-core ARM A57@1.43 GHz.
Interface 1 x1/2/4 PCIE, 1x USB 3.0, 3xUSB 2.0
Main control system  Ubuntu
Power supply voltage DC 8V
Working current  9A
Maximum speed  25cm/s
Battery capacity 4000mAh
Battery life 1 H
Servo model XR-S270
Degree of freedom 18 DOF + 2 DOF gimbal
Charging time 7-10 hours
Gait type Delta gait
Gait algorithm Inverse kinematics solution
Camera resolution 720P
Camera pixel 1 million
Control distance  20M
Control method WiFi wireless 802.11b/g/n
Control terminal Mobile phone, PAD, PC computer
Programming language  Python,C++


 Core driver board parameters
Expansion interface:  Provide no less than 40PIN digital interface, which can provide no less than 15mA drive current
Voltage stabilization system: dual voltage stabilization system, using logic level isolation design to reduce interference
Voltage stabilization capability: Accepts 7-12V wide voltage input and can stably provide 5V and 3.3V DC voltage output
Power supply load capacity: load power is not less than 24W
Sensor compatibility: Compatible with no less than 40 types of IoT sensors
Driving capability: Using XRD2.0 driving scheme, the driving current is not less than 20A and the driving power is not less than 120W
Servo interface: It has no less than 18 serial servo interfaces and generates control signals with an accuracy error of no less than 1%.
The electronic display system provides an electronic display LED unit interface with no less than 8*2 specifications and accurately displays the power with 3-color lights.
Control interface: Provide at least 5 control interfaces including Bluetooth, WiFi, 433, serial port, IIC, etc.




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