Essays about: "Artificial Potential Field APF"

Found 3 essays containing the words Artificial Potential Field APF.

  1. 1. Intelligent Drone Swarms : Motion planning and safe collision avoidance control of autonomous drone swarms

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Hilding Gunnarsson; Adam Åsbrink; [2022]
    Keywords : Artificial Potential Field APF ; Control Barrier Function CBF ; Leader Follower control; Micro Aerial Vehicle MAV ; Optimal motion planning;

    Abstract : The use of unmanned aerial vehicles (UAV), so-called drones, has been growingrapidly in the last decade. Today, they are used for, among other things, monitoring missions and inspections of places that are difficult for people to access. Toefficiently and robustly execute these types of missions, a swarm of drones maybe used, i.e. READ MORE

  3. 2. Automatic generation of obstacle free trajectories for AGV’s

    University essay from Högskolan Väst/Institutionen för ingenjörsvetenskap

    Author : Shubhrajit Sinha; [2022]
    Keywords : Obstacle avoidance; algorithms;

    Abstract : This project is carried out in the field of motion planning of AGVs for the company AGVE with the aim to automate the obstacle free trajectory generation process. The process of manually generating splines in AutoCAD to achieve obstacle avoidance is replaced by the automatic generation of paths by running a python script. READ MORE

  4. 3. Optimization Techniques For an Artificial Potential Fields Racing Car Controller

    University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Author : Nader Abdelrasoul; [2013]
    Keywords : Autonomous car controller; Artificial Potential Fields APF ; Particle Swarm Optimization PSO ; TORCS.;

    Abstract : Context. Building autonomous racing car controllers is a growing field of computer science which has been receiving great attention lately. An approach named Artificial Potential Fields (APF) is used widely as a path finding and obstacle avoidance approach in robotics and vehicle motion controlling systems. READ MORE