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The SU17 Research Edition (Developer Version) has officially launched, introducing four key features that redefine second-level development in robotics and drone applications.
1. EGO-Swarm Path Planning and Obstacle Avoidance
The SU17 is equipped with dynamic obstacle detection and avoidance capabilities. It can seamlessly navigate around obstacles and swiftly adjust to target changes at speeds of up to 2m/s. This exceptional flexibility and adaptability enable it to excel in complex and unknown environments, significantly improving task efficiency and execution accuracy while supporting a diverse range of mission requirements.
2. Rapid and Accurate 3D Mapping
With its advanced environmental perception capabilities, the SU17 can quickly gather surrounding environmental data during flight and process it into a 3D environment map in real-time. This feature provides precise spatial awareness and navigation support for various tasks.
3. Quad-Camera Visual SLAM
The BSA-SLAM system, featuring a quad-camera setup and IMU integration, combines visual data with acceleration and angular velocity inputs for precise autonomous drone positioning. This ensures stable and reliable ground station data, enhancing the system's overall navigation accuracy.
4. Simulation Demo for Rapid Deployment
The SU17 includes comprehensive simulation tools and educational routines to assist developers in optimizing code and parameters through continuous simulation and real-world testing.
1. All-in-One Integration
The SU17 drone integrates the flight controller, data transmission, ESC, power management, and onboard computer into a compact design, significantly enhancing system stability.
2. Expansion-Friendly Design
It features two serial ports, two Ethernet ports (one with PTP time synchronization), two Type-C interfaces, one USB 2.0 port, and one USB 3.0 port. It also supports additional sensors like the MID360 3D LiDAR and UWB.
3. Hardware Time Synchronization
The quad-camera setup achieves synchronization precision within 30 microseconds, offering robust image and IMU data access through SDK interfaces.
4. Lightweight and Modular Design
The SU17 supports a lightweight structure with a detachable safety guard, ensuring product and personnel safety during research and development scenarios.
Indoor Inspection
The SU17 drone addresses challenges in indoor inspection, including positioning accuracy, flight stability, and spatial adaptability, which often hinder traditional drones in complex indoor environments.
With quad-camera VIO positioning and LiDAR SLAM, the SU17 overcomes these limitations, delivering:
Accurate indoor positioning
Real-time obstacle avoidance and dynamic path planning
Digital twin mapping for precise waypoint planning
Efficient task execution, including photography and inspection
Visual recognition and guided landing capabilities
The SU17 sets a new benchmark for versatility and efficiency, making it an indispensable tool for advanced development and research tasks
