Introduction:
ROSMASTER A1 not only has the real car movement characteristics of the Ackerman chassis, but also deeply integrates three AI models of language, voice, and vision. It supports SLAM mapping, autonomous navigation and semantic understanding. It can also serve as an ideal teaching platform for courses such as autonomous driving principles, path planning, decision-making and control, fully meeting the diverse needs of ROS education and teaching research.
Top-level Hardware:
ROS2 HUMBLE Development Environment:
Embodied Intelligence High-level Functions:
1.Embodied Intelligence for complex and long-term task processing
2.Large model intention understanding planning/Context-aware response
Introduction to ROS Functions:
Who Is It For?
Why Choose ROSMASTER A1 by Yahboom?
Advantage&Details
✅ True Ackerman steering structure
Simulates real vehicle movement for autonomous-driving studies.
✅ AI multi-modal sensor integration
LiDAR + cameras + voice modules for 360° perception.
✅ Multi-platform support
Compatible with Jetson, Raspberry Pi, and Orin.
✅ Ready-to-use tutorials & code
Comprehensive learning materials available.
✅ Education + Research friendly
Suitable from beginner to advanced level projects.
Conclusion:
ROSMASTER A1 is not just another AI robot — it’s a complete ROS2 learning and research platform that bridges the gap between theory and real-world application.
With high-performance hardware, AI-powered interaction, and ROS2 integration, it enables students, developers, and researchers to master robotic perception, decision, and control from end to end.