Hiwonder AI Tool for VEX AI Robotics Competition (VAIRC) with Precision Depth Camera & LiDAR for Robot Programming

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Description

Product Description The VEX AI Robotics Competition (VAIRC) is an advanced AI challenge for students, providing an opportunity to level up their autonomous robots in competition! Hiwonder AI Tool Kit, in collaboration with MAGIKID, includes the Jetson Orin Nano, depth camera, and LiDAR system, offering capabilities like object recognition, gripping, placement, and obstacle-avoidance navigation. It also simplifies connecting the Jetson Nano to the V5 Brain for AI robot development. The kit comes with programming resources and tutorials, ensuring teams have a strong foundation to develop their custom solutions and achieve their best performance in VAIRC. Please note that our technical solution focuses solely on the hardware connection for this year's VAIRC challenge and does not affect contestants’ design or programming. We will not provide explanations on how the hardware solution was developed and produced at the time of purchase. Thank you for your understanding. DaBai Depth Camera Trained using the YOLO11 framework, this Depth Camera is capable of accurately identifying key targets such as red rings, blue rings, fixed posts, and moving posts. It ensures that robots can perform tasks efficiently, even in complex and dynamic environments. EAI G4 LiDAR The integrated G4 LiDAR system provides precise obstacle avoidance and navigation capabilities. It supports robot path planning and motion control, ensuring smooth and reliable operation during tasks. Demo Video 【Target Detection and Moving Post Placement】The robot begins by scanning its surroundings to locate rings of its assigned color. Once a ring is identified, the robot automatically moves toward it and performs the gripping action. Afterward, the robot continues scanning to find a moving post. Upon locating the post, it accurately places the ring in the target position. 【Target Detection and Fixed Post Placement】In this scenario, the robot scans for rings of its assigned color, successfully identifying and grippi