Six-legged robot Muto RS 18DOF Standard (Jetson NANO)
Muto RS is a desktop-grade bionic six-legged robot designed and engineered based on the ROS2 operating system and compatible with Jetson NANO and Raspberry Pi. The overall body is made of aluminum alloy and contains 18 serial bus servos weighing 35 kg, depth cameras, lidar and voice modules. With Python3 programming and built-in high-precision algorithms, Muto RS can easily implement AI visual interaction, 3D map navigation, voice interaction, deep learning, Rviz modeling.
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Six-legged robot Muto RS 18DOF Standard based on Jetson NANO at a bargain price!
The six-legged robot Muto RS 18DOF Standard is equipped with Jetson NANO. It represents an advanced educational tool. Its powerful capabilities and flexibility make it an ideal tool for learning robotics. Students can experiment with programming and controlling a robot while developing key STEM skills.
Muto RS 18DOF provides hands-on learning to stimulate interest in engineering and technology. With Jetson NANO, the robot can process data and make decisions in real time. This educational tool helps shape future engineers and programmers.
Students can program Muto RS 18DOF. This is needed to perform various tasks, from navigating complex routes to performing various manipulations.
Jetson NANO integration allows you to use machine learning to improve the robot's abilities. Primarily for pattern recognition and learning.
Training on such modern equipment stimulates creative thinking and problem solving. This perfectly prepares students for future challenges in the robotics industry.
Specifics and features
- Contains 18 metal bus servos weighing 35 kg.
- Depth camera, lidar, voice interaction module.
- High capacity batteries.
- Compatible with Raspberry Pi and Jetson NANO, uses Python3 programming, ROS2 operating system and inverse kinematics algorithm to precisely control the robot's movement.
Implementation of a range of functions
- navigation on 3D maps;
- voice interaction;
- synchronous control;
- deep learning;
- visual recognition;
- docker container development;
- lidar tracking and obstacle avoidance.
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