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A basic motion planning problem is to compute a continuous path that connects a start configuration S and a goal configuration G, while avoiding collision with known obstacles. The robot and obstacle geometry is described in a 2D or 3D workspace , while the motion is represented as a path in (possibly higher-dimensional) configuration space .
ArduPilot is jointly managed by a group of volunteers located around the world, using the Internet (discourse based forum, gitter channel) to communicate, plan, develop and support it. The development team meets weekly in a chat meeting, open to all, using Mumble. In addition, hundreds of users contribute ideas, code and documentation to the ...
OpenDroneMap is an open source photogrammetry toolkit to process aerial imagery (usually from a drone) into maps and 3D models. [3] [4] [5] The software is hosted and distributed freely on GitHub. [6] OpenDroneMap has been integrated within American Red Cross's in-field Portable OpenStreetMap system. [7]
Path planning is an important issue as it allows a robot to get from point A to point B. Path planning algorithms are measured by their computational complexity. The feasibility of real-time motion planning is dependent on the accuracy of the map (or floorplan ), on robot localization and on the number of obstacles.
Real-Time Path Planning is a term used in robotics that consists of motion planning methods that can adapt to real time changes in the environment. This includes everything from primitive algorithms that stop a robot when it approaches an obstacle to more complex algorithms that continuously takes in information from the surroundings and creates a plan to avoid obstacles.
UAV ground control station (GCS) is a land- or sea-based control centre that provides the facilities for human control of Unmanned Aerial Vehicles (UAVs or "drones"). [1] It may also refer to a system for controlling rockets within or above the atmosphere , but this is typically described as a Mission Control Centre .
Unmanned aircraft system simulation focuses on training pilots (or operators) to control an unmanned aircraft or its payload from a control station. Flight simulation involves a device that artificially re-creates aircraft flight and the environment in which it flies for pilot training, design, or other purposes.
The Dubins' path gives the shortest path joining two oriented points that is feasible for the wheeled-robot model. The optimal path type can be described using an analogy with cars of making a 'right turn (R)', 'left turn (L)' or driving 'straight (S).' An optimal path will always be at least one of the six types: RSR, RSL, LSR, LSL, RLR, LRL.