Sökning: "sampling-based planning"
Visar resultat 1 - 5 av 13 avhandlingar innehållade orden sampling-based planning.
1. Sampling-based Path Planning for an Autonomous Helicopter
Sammanfattning : Many of the applications that have been proposed for future small unmanned aerial vehicles (UAVs) are at low altitude in areas with many obstacles. A vital component for successful navigation in such environments is a path planner that can find collision free paths for the UAV. LÄS MER
2. Robot Manipulation Planning Among Obstacles: Grasping, Placing and Rearranging
Sammanfattning : This thesis presents planning algorithms for three different robot manipulation tasks: fingertip grasping, object placing and rearranging. Herein, we place special attention on addressing these tasks in the presence of obstacles. LÄS MER
3. Synergies between Policy Learning and Sampling-based Planning
Sammanfattning : Recent advances in artificial intelligence and machine learning have significantly impacted the field of robotics and led to the interdisciplinary study of robot learning. These developments have the potential to revolutionize the automation of tasks in various industries by reducing the reliance on human workers. LÄS MER
4. Sampling Based Motion Planning for Heavy Duty Autonomous Vehicles
Sammanfattning : The automotive industry is undergoing a revolution where the more traditional mechanical values are replaced by an ever increasing number of Advanced Driver Assistance Systems (ADAS) where advanced algorithms and software development are taking a bigger role. Increased safety, reduced emissions and the possibility of completely new business models are driving the development and most automotive companies have started projects that aim towards fully autonomous vehicles. LÄS MER
5. Representation and Learning for Robotic Grasping, Caging, and Planning
Sammanfattning : Robots need to grasp, handle, and manipulate objects, navigate their environment, and understand the state of the world around them. Like all artificial intelligence agents, they have to make predictions, formulate goals, reason about actions, and make plans. LÄS MER