Path planning is a necessary and fundamental component of any autonomous vehicle. The goal is to obtain a path that allows the vehicle to fullll its mission objectives by ensuring an eecient and safe path. Numerous path planning algorithms exist, although each is speciic to the type of vehicle that the algorithm is used on. This paper presents a path planning algorithm that is generic in nature...

This paper presents a terrain mapping and path planning techniques for a planetary exploration rover. A light detection and ranging (LIDAR) is employed in this work to obtain a point cloud data of the terrain feature. A terrain map converted from the point cloud data is represented with a sector-shaped reference grid, resulting in a digital elevation map with the cylindrical coordinate, called ...

This paper presents a time-based path planning optimizer for separation assurance for unmanned aerial systems (UAS). Given Automatic Dependent Surveillance-Broadcast (ADS-B) as a sensor, position, velocity, and identification information is available at ranges on the order of 50 nautical miles. Such long-range intruder detection facilitates path planning for separation assurance, but also poses...

This project concerns the design and fabrication of the Automated Guided Robot (AGR) prototype, utilizing genetic algorithm (GA) as a mainframe in helping the robot to generate a self-understanding of the area of work and mobilization to a destination desired by the user. The main objective of this project is to create and develop a Path Planning Mobile Robot able to avoid obstacles in its path...

Human-like path planning is still a challenging task for automated vehicles. Imitation learning can teach these vehicles to learn planning from human demonstration. In this work, we propose to formulate the planning stage as a convolutional neural network (CNN). Thus, we can employ well established CNN techniques to learn planning from imitation. With the proposed method, we train a network for...

Automated planning and scheduling, including automated path planning, has been integrated with an Internet-based distributed operations system for planetary rover operations. The resulting prototype system enables faster generation of valid rover command sequences b y a distributed planetary rover operations team. The Web Interface for Telescience (WITS) provides Internet-based distributed coll...

We consider the issues involved in writing path planners that can work well with complex geometric models of robots and workspaces, and outline our work in implementing a solution. We claim that many path planning problems can be solved by a mixture of global and local planning. In turn, local planning can be usefully supported by the provision of efficient distance computations. Global plannin...

This paper is introduced to be the obstacle recognition, path planning and oscillating control for an automobile crane system on-line. We studied the autonomous mobile overhead traveling crane so for. In particular, the research of obstacle recognition, path plan and oscillating control is carried out. For on-line obstacle recognition, the obstacle recognition system using the ultrasonic sensor...

Motion planning is one of the important tasks in intelligent control of an autonomous mobile robot. Path planning is to generate a collision free path in an environment with obstacles with respect to some criterion. Trajectory planning is to schedule the movement of a mobile robot along the planned path. Several approaches have been proposed to address the problem of motion planning of a mobile...