Compact ROS Robot Learning Platform with AI Vision & Mecanum Mobility | Dual Controller with Arduino & ESP32 | Supports SLAM, Navigation & Object Tracking | Compatible with ROS1 & Gazebo Simulation | Wi-Fi Control for STEM Education & AI Research

The compact ROS-based learning platform is a fully functional educational robot designed for beginners and advanced learners exploring robotics, AI vision, and autonomous navigation. It uses a dual-controller structure combining Arduino for motion control and ESP32 for wireless communication, allowing smooth performance and real-time ROS data transmission.

The robot is equipped with Mecanum wheels that enable omni-directional movement, making it ideal for confined classroom environments or indoor navigation experiments. Students can study vector kinematics and implement PID control to achieve precision steering and speed stability. The integrated LiDAR and IMU sensors provide accurate spatial awareness, enabling SLAM mapping, localization, and obstacle avoidance within the ROS environment.

Through Python and C++ programming in ROS 1, learners can publish and subscribe to topics, run navigation nodes, and visualize robot motion in RViz and Gazebo. The platform includes preloaded examples for path planning, autonomous exploration, and object tracking. The onboard camera supports AI-based computer vision functions such as color detection, face tracking, and motion recognition, helping students bridge theory and application.

The open-source hardware design encourages modular expansion — users can connect ultrasonic sensors, robotic arms, or IoT modules to explore advanced integration between AI and embedded systems. The durable aluminum chassis and high-precision motors ensure reliable long-term use for labs and academic settings.

By combining compact size, high performance, and full ROS compatibility, this robot gives students a hands-on understanding of how intelligent systems perceive, analyze, and move autonomously. It’s a complete gateway into the world of robotics, AI education, and autonomous vehicle technology — accessible, scalable, and built for innovation.