- Email: [email protected]
This multi-robot formation kit is a modular, open-source platform tailored for robotics education, AI research, and algorithm development. It supports ROS2 cluster control, enabling coordinated multi-vehicle operations with real-time communication and autonomous navigation.
Three-Robot Formation: Includes 3 compact robots with omnidirectional Mecanum wheels for full mobilityforward, lateral, and rotational movement.
Main Controller: Each robot is equipped with a Raspberry Pi 5 (8GB), powered by a quad-core ARM Cortex-A76 processor, ideal for running complex ROS2 nodes and multi-agent coordination.
LiDAR Sensor: Integrated Leishen M10P laser radar provides 360 scanning at up to 12Hz, with a maximum range of 30 meters, enabling SLAM mapping and obstacle detection.
ROS2 Cluster Architecture: Supports distributed control, formation algorithms, and real-time data exchange between robots.
Open-Source Ready: Includes ROS2 source code, configuration files, and algorithm libraries for formation control, target guidance, and cross-traffic coordination.
Multi-robot formation and coordination experiments
SLAM-based autonomous navigation
Robotics curriculum and lab training
AI algorithm testing and swarm robotics research
This multi-robot formation kit is a modular, open-source platform tailored for robotics education, AI research, and algorithm development. It supports ROS2 cluster control, enabling coordinated multi-vehicle operations with real-time communication and autonomous navigation.
Three-Robot Formation: Includes 3 compact robots with omnidirectional Mecanum wheels for full mobilityforward, lateral, and rotational movement.
Main Controller: Each robot is equipped with a Raspberry Pi 5 (8GB), powered by a quad-core ARM Cortex-A76 processor, ideal for running complex ROS2 nodes and multi-agent coordination.
LiDAR Sensor: Integrated Leishen M10P laser radar provides 360 scanning at up to 12Hz, with a maximum range of 30 meters, enabling SLAM mapping and obstacle detection.
ROS2 Cluster Architecture: Supports distributed control, formation algorithms, and real-time data exchange between robots.
Open-Source Ready: Includes ROS2 source code, configuration files, and algorithm libraries for formation control, target guidance, and cross-traffic coordination.
Multi-robot formation and coordination experiments
SLAM-based autonomous navigation
Robotics curriculum and lab training
AI algorithm testing and swarm robotics research
There are no reviews yet. Be the first to review this product!
Add a review
Your email address will not be published. Required fields are marked *