Description
Muto RS is a desktop-level bionic hexapod robot developed and designed based on the ROS2 operating system and compatible with Jetson NANO and Raspberry Pi. The overall body is made of aluminum alloy and contains 18PCS 35KG serial bus servos, depth cameras, lidar, voice modules. Through Python3 programming and built-in high-precision algorithms, Muto RS can easily implement AI visual interaction, 3D mapping navigation, voice interaction, deep learning, Rviz simulation. Based on multi-machine communication technology, we can also allow Muto to complete multi-machine synchronization control and multi-machine navigation. Users can control it by APP, wireless handle, and computer web pages. Muto is not only suitable for learning algorithms for multi-legged bionic robot movement, but is also a good platform for ROS developers.
Features
- Contains 18PCS 35KG metal bus servos, depth camera, lidar, voice interaction module, large-capacity batteries and other high-quality accessories, providing Muto RS with more stable performance.
- Compatible with Raspberry Pi and Jetson NANO, using Python3 programming, ROS2 operating systemand inverse kinematics algorithm to accurately control robot movement.
- Functions such as 3D mapping navigation, voice interaction, synchronous control, deep learning, visual recognition, docker container development, lidar tracking and obstacle avoidance can be easily realized.
- Yahboom provides a multi-functional remote control APP, wireless controller, and mapping navigation APP. Allows users to control Muto RS anytime and anywhere.
- Supports RVIZ simulation, users can control robots and verify algorithms in the virtual environment.
Details
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Customer Reviews
I really enjoy building this Muto spider. I am a retired electronic technician, and this toolkit is the perfect tool to help me learn new technologies. The use of metal components in architecture left a deep impression on me. The layout of components allows you to understand how each circuit board and sensor component are connected together to form a unit. The charts and images used in the online assembly instructions are clear and explanatory.
Since I retired, I have been interested in robots and I look forward to learning more from this toolkit and being able to participate in all the projects it provides. Thank you to Yahboom company.
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