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.

Navya Autonomous Vehicles leverage cutting-edge AI to provide fully autonomous transport solutions. These vehicles are engineered to operate without a driver, making them suitable for public transit, campus shuttles, and logistics. They enhance operational efficiency, reduce traffic congestion, and are designed with safety features that include obstacle detection and real-time decision-making. Ideal for urban environments, Navya vehicles ensure seamless mobility and efficient transport, transforming how we think about transportation.

AI Drive is a cutting-edge AI-powered driving assistant designed to enhance your driving experience. It offers real-time navigation, traffic updates, and route optimization to help drivers avoid congestion. It also includes automated tasks such as parking assistance and proximity alerts, ensuring a safer and more efficient journey. The AI continuously learns from user preferences to provide tailored suggestions, making it an indispensable tool for modern drivers.