Key Features & Capabilities
- Full-Stack and Integrated: Combines powerful sensor hardware with the open-source Autoware software framework, built on the Robot Operating System (ROS).3
- High-Precision Localization: Utilizes 3D SLAM (Simultaneous Localization and Mapping) localization technology, often featuring a multi-line LiDAR (e.g., RoboSense RS-LiDAR-16) for 4$\pm 2 \text{cm}$ typical accuracy and a measurement range up to 5$150 \text{m}$.6
- All-Terrain Adaptability: Seamlessly integrates with various AgileX all-terrain robot chassis (like HUNTER, BUNKER, SCOUT, etc.), making it suitable for both urban road e off-road environments.7
- Core Autonomous Functions: Supports critical functions essential for autonomous navigation:8
- 3D Point Cloud Mapping9
- Localization and Navigation using 3D point cloud data10
- Autonomous Path Planning with Obstacle Avoidance
- Advanced maneuvers like Parking and Lane Changes
- Editing vector maps (for lane lines, zebra crossings, etc.)11
- Open-Source & Extensible: The ROS-based architecture allows easy integration of existing libraries or new payloads and sensors (like GPS modules, depth cameras, etc.) for customized applications.12
- Development Ready: Includes a powerful industrial control system (e.g., Intel i7 CPU) and pre-installed ROS nodes, allowing users to quickly start autonomous robot deployment and research.13
Ideal For:
- Academic research and education in robotics and autonomous systems.14
- Industry developers looking for a ready-to-use platform to prototype and validate autonomous driving algorithms.15
- Projects requiring wire-controlled vehicle operation via ROS.16
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