Showing 2 open source projects for "linux space invaders"

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    FASTER

    FASTER

    3D Trajectory Planner in Unknown Environments

    FASTER is a research-grade 3D trajectory planner for autonomous navigation in unknown environments. It was developed for both aerial robots and ground vehicles that must move safely while new obstacles are discovered. The planner continuously builds safe and unknown-space trajectory segments rather than assuming the environment is fully mapped. Optimization is used to generate dynamically feasible paths while maintaining safety constraints. The project integrates with ROS, Gazebo, MAVROS,...
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    gym-pybullet-drones

    gym-pybullet-drones

    PyBullet Gymnasium environments for multi-agent reinforcement

    Gym-PyBullet-Drones is an open-source Gym-compatible environment for training and evaluating reinforcement learning agents on drone control and swarm robotics tasks. It leverages the PyBullet physics engine to simulate quadrotors and provides a platform for studying control, navigation, and coordination of single and multiple drones in 3D space.
    Downloads: 0 This Week
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