Autonomous drone navigation and swarm coordination algorithms
湖南云箭 develops autonomous drone systems with a stack centered on robotics frameworks (ROS, PX4, Ardupilot) and SLAM-based navigation (ORB-SLAM, VSLAM), complemented by CAD design tools (NX) and real-time control via C++/Python. The engineering-heavy org (11 of 16 headcount) focused on algorithm development—path planning, swarm coordination, task allocation—signals a company solving hard autonomy problems rather than integrating off-the-shelf components.
湖南云箭 designs and manufactures unmanned aerial vehicles (UAVs) with emphasis on autonomous flight algorithms and multi-drone coordination. The product roadmap centers on local and global navigation path planning, swarm collaborative flight strategies, and task allocation for coordinated missions, alongside ground station software and UAV structure design. The company operates from Huaihua, Hunan Province, with a small, mid-level technical team (30 people across engineering, manufacturing, research, and finance) focused on algorithm and hardware integration rather than high-volume production.
Core stack: ROS, PX4, Ardupilot, ORB-SLAM, VSLAM for autonomous flight; C++, Python, MATLAB for algorithm development; NX and CAD for structural design; Qt and Visual C++ for ground station software; Linux for embedded systems.
Primary projects: unmanned drone navigation and swarm algorithms (path planning, collaborative flight, task allocation); UAV structural and functional system design; ground station software development; information fusion and intelligence processing systems.
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