Our comprehensive technical solution encompasses Robot Full Body Control, allowing for precise and coordinated manipulation of all body parts. It specifically includes the capability to perform bipedal walking, as well as the ability to climb stairs and overcome obstacles seamlessly.

Our autonomous driving solution combines vision cameras and LiDAR sensors to create a powerful perception system. By fusing data from these sensors, our solution enhances object detection, localization, and mapping capabilities. This enables vehicles to navigate complex road conditions, detect potential hazards, and make real-time decisions for a safer and more efficient driving experience.

Robot Control Modeling and Simulation involves creating virtual representations and simulations of robotic systems to analyze and optimize their control algorithms and behaviors. By developing accurate models and utilizing sophisticated simulation techniques, this approach enables engineers to study the robot's performance, test different control strategies, and predict its behavior in various scenarios.

Equipped with the high-performance NVIDIA RTX2060 graphics card, this system enables real-time 3D reconstruction of environmental surface textures. By fusing RGB-D images through pose estimation algorithms, it calculates positions based on color consistency constraints for RGB images and utilizes the ICP algorithm for point clouds. This achieves dense RGB-D 3D reconstruction, making it suitable for large-scale visual modeling of expansive environments. The system also incorporates a relocalization algorithm for camera pose recalibration when tracking is lost. The algorithms utilize OpenGL for point cloud updating, fusion, display, and projection.