Results 21 to 30 of about 123,824 (262)

Fast Path Planning of Autonomous Vehicles in 3D Environments

open access: yesApplied Sciences, 2022
Three dimensional path planner is crucial for the safe navigation of autonomous vehicles (AV), such as unmanned aerial vehicles or unmanned underwater vehicles, which operate in three dimensions.
Jonghoek Kim
doaj   +1 more source

A Review of Path Planning for Unmanned Surface Vehicles

open access: yesJournal of Marine Science and Engineering, 2023
With the continued development of artificial intelligence technology, unmanned surface vehicles (USVs) have attracted the attention of countless domestic and international specialists and academics.
Bowen Xing   +5 more
doaj   +1 more source

Path Tracking in Motion Planning [PDF]

open access: yesThe Computer Journal, 1993
Summary: The inverse kinematics problem asks to determine the configurations of a robot manipulator that places the tip of the robot in a given position and orientation. The generalization of this problem, called path tracking or path following, is to determine if there exists a path of a manipulator in which the tip follows a given path.
M. J. González-López, Tomás Recio
openaire   +2 more sources

Path planning with hallucinated worlds [PDF]

open access: yes2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005
We describe an approach that integrate midrange sensing into a dynamic path planning algorithm1. The algorithm is based on measuring the reduction in path cost that would be caused by taking a sensor reading from candidate locations. The planner uses this measure in order to decide where to take the next sensor reading.
Bart C. Nabbe   +2 more
openaire   +1 more source

Quality-Oriented Hybrid Path Planning Based on A* and Q-Learning for Unmanned Aerial Vehicle

open access: yesIEEE Access, 2022
Unmanned aerial vehicles (UAVs) are playing an increasingly important role in people’s daily lives due to their low cost of operation, low requirements for ground support, high maneuverability, high environmental adaptability, and high safety. Yet
Dongcheng Li   +4 more
doaj   +1 more source

Multi-Level Indoor Path Planning and Clearance-Based Path Optimization for Search and Rescue Operations

open access: yesIEEE Access, 2023
In this study, a multi-level path planning system is proposed for indoor search and rescue operations. Requirements for the path planning system are derived based on the operational concept of the integrated indoor navigation system. Different aspects of
Jihoon Lee   +4 more
doaj   +1 more source

Path Planning Games

open access: yesCoRR, 2019
Path planning is a fundamental and extensively explored problem in robotic control. We present a novel economic perspective on path planning. Specifically, we investigate strategic interactions among path planning agents using a game theoretic path planning framework.
Yi Li, Yevgeniy Vorobeychik
openaire   +2 more sources

Communication-Aware UAV Path Planning

open access: yesIEEE Access, 2019
Autonomous air drones, known as unmanned aerial vehicles (UAVs), often accomplish missions with real-time video streaming leveraging the available cellular network.
Afshin Mardani   +2 more
doaj   +1 more source

Biologically Inspired Complete Coverage Path Planning Algorithm Based on Q-Learning

open access: yesSensors, 2023
Complete coverage path planning requires that the mobile robot traverse all reachable positions in the environmental map. Aiming at the problems of local optimal path and high path coverage ratio in the complete coverage path planning of the traditional ...
Xiangquan Tan   +3 more
doaj   +1 more source

Obstacle-avoidance path planning based on the improved artificial potential field for a 5 degrees of freedom bending robot [PDF]

open access: yesMechanical Sciences, 2023
Path planning is a key technique used in the operation of bending robots. In this paper, an obstacle-avoidance path-planning method of a 5 degrees of freedom (5 DOF) bending robot based on improved artificial potential field is proposed.
Q. Jiang, K. Cai, F. Xu
doaj   +1 more source

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