How ROSOrin Is Pushing the Limits of ROS Education Robots with AI

Hiwonder ROSOrin has made a groundbreaking leap in its physical design. It features an innovative all-in-one modular chassis that eliminates the need for multiple robot platforms to test different algorithms. ROSOrin seamlessly switches between three chassis configurations: Mecanum, Ackermann, and Differential Drive. Rather than simply adding features, it's a complete reinvention of the underlying mechanics and kinematic systems. One ROSOrin replaces what used to require multiple platforms, making scenario testing faster and more efficient.

What's even more impressive is the ROSOrin's swing arm suspension system, designed to keep all four wheels in constant contact with the ground, no matter the terrain or configuration. This innovative feature prevents issues like motor encoder data distortion from wheel slippage, ensuring a reliable foundation for the stable performance of advanced algorithms.

If the agile body of ROSOrin is its framework, then the embedded multimodal AI model is the soul that brings it to life. What sets ROSOrin apart is its ability to create a seamless loop from perception and understanding to decision-making and execution, ensuring reliability throughout. The AI models deployed on ROSOrin have been finely tuned for robotic behavior, transforming it from a fun demo into a stable, intelligent core capable of executing long-form tasks with consistency.

Deep Semantic Understanding: You can talk to it as naturally as you would to a person. For example, when you say, "I'm hungry," ROSOrin understands the intent behind your words. It autonomously navigates to the kitchen, scans the surroundings, and responds, "I see some eggs and bacon here. You could make yourself a nice breakfast sandwich."

Dynamic Scene Understanding: Thanks to its advanced vision model, ROSOrin doesn't just identify objects, it comprehends the entire scene. Whether it's tracking a rolling soccer ball or helping you find a "blue book" in a living room, ROSOrin can autonomously recognize and track targets with precision in dynamic environments.

LiDAR Precision Sensing: Equipped with a high-precision TOF LiDAR, ROSOrin integrates encoder and IMU data to provide a robust environmental perception system. It supports multiple mapping algorithms, such as Cartographer, Hector, and Gmapping, while offering advanced features such as TEB path planning with dynamic obstacle avoidance and RRT-based autonomous exploration. Thanks to its refined re-localization techniques, ROSOrin minimizes drift and improves navigation stability, enabling versatile applications including single/multi-point navigation, radar obstacle avoidance, and radar tracking.

3D Visual Depth Perception: The 3D structured light depth camera generates depth maps and point cloud data, accurately capturing the spatial depth of target objects for high-precision measurements of distance and volume. By combining advanced algorithms like ORBSLAM2, ORBSLAM3, and RTAB-Map, ROSOrin builds high-precision 3D color maps, providing a solid foundation for improved environmental perception and intelligent navigation.

Intelligent Vision Interaction System: Equipped with the YOLOv11 deep learning model, ROSOrin supports advanced applications like image segmentation, pose estimation, image classification, and targeted object detection. It integrates popular computer vision frameworks such as OpenCV and MediaPipe to enable multi-dimensional visual perception, including human feature recognition, gesture recognition and following, and 3D object detection. With features like KCF object tracking, color tracking, and face recognition, ROSOrin significantly boosts the robot's ability to perceive and interact with its environment.

Multi-Robot Formation and Group Control: With advanced multi-robot communication and leader-follower technology, ROSOrin overcomes the limitations of single-robot intelligence, enabling collaborative navigation, distributed path planning, and real-time dynamic obstacle avoidance. ROSOrin allows for seamless multi-robot coordination, supporting various formation styles like horizontal and vertical lines, as well as triangular escorts. With one wireless controller, multiple robots can work together effortlessly for tasks like synchronized displays and group exploration.

ROSOrin is not just a hardware platform—it's a complete system for education and research. With comprehensive tutorials, it covers everything from the basics of ROS to AI model deployment, and from SLAM theory to practical coding. Additionally, a complete URDF model, open-source code, and a dedicated app ensure smooth integration from theoretical learning to hands-on experimentation, offering an all-in-one solution for both learning and development.

While others are still replicating older models, ROSOrin has pushed the boundaries of ROS robots with two key innovations: redefined form and enhanced intelligence. Choose ROSOrin for a future built on original, cutting-edge technology and a reliable foundation for research.