NavGround is a comprehensive AI-driven navigation framework that delivers reactive motion planning, obstacle avoidance, and trajectory generation for differential drive and holonomic robots in 2D environments. It integrates dynamic map representations and sensor fusion to detect static and moving obstacles, applying velocity obstacle methods to compute collision-free velocities adhering to robot kinematics and dynamics. The lightweight C++ library offers a modular API with ROS support, enabling seamless integration with SLAM systems, path planners, and control loops. NavGround’s real-time performance and on-the-fly adaptability make it suitable for service robots, autonomous vehicles, and research prototypes operating in cluttered or dynamic scenarios. The framework’s customizable cost functions and extensible architecture facilitate rapid experimentation and optimization of navigation behaviors.

BasicAI Cloud is a cloud-based platform designed to streamline data annotation workflows for AI model training. It offers auto-annotation and object tracking for 3D point clouds, 2D & 3D sensor fusion, images, and videos. By leveraging AI-driven tools, it significantly enhances annotation speed—up to 82 times faster—while managing large volumes with no-lag performance. Its rich set of user-friendly, multimodal labeling tools boosts productivity and efficiency, ultimately accelerating model development by up to 10 times.