Results 31 to 40 of about 6,847,583 (383)

Planning Maximum-Manipulability Cutting Paths [PDF]

open access: yesIEEE Robotics and Automation Letters, 2020
This letter presents a method for constrained motion planning from vision, which enables a robot to move its end-effector over an observed surface, given start and destination points. The robot has no prior knowledge of the surface shape, but observes it from a noisy point cloud.
Tommaso Pardi   +5 more
openaire   +1 more source

Neural Networks in Mobile Robot Motion [PDF]

open access: yes, 2004
This paper deals with a path planning and intelligent control of an autonomous robot which should move safely in partially structured environment. This environment may involve any number of obstacles of arbitrary shape and size; some of them are allowed ...
Janglova, Danica
core   +6 more sources

Combined improved A* and greedy algorithm for path planning of multi-objective mobile robot

open access: yesScientific Reports, 2022
With the development of artificial intelligence, path planning of Autonomous Mobile Robot (AMR) has been a research hotspot in recent years. This paper proposes the improved A* algorithm combined with the greedy algorithm for a multi-objective path ...
Dan Xiang   +3 more
semanticscholar   +1 more source

Path Planning Problem

open access: yesInternational Journal of Computer Applications, 2014
Path planning is the way of determination of a collision free path between start and goal position through obstacles cluttered in a workspace. Though it is a complex problem, but it is an essential task for the navigation and controlling the motion of autonomous robot manipulators.
Yogita Gigras, Oshina Vasishth
openaire   +1 more source

Direct Entry Minimal Path UAV Loitering Path Planning

open access: yesAerospace, 2017
Fixed Wing Unmanned Aerial Vehicles (UAVs) performing Intelligence, Surveillance and Reconnaissance (ISR) typically fly over Areas of Interest (AOIs) to collect sensor data of the ground from the air. If needed, the traditional method of extending sensor
Jay P. Wilhelm   +2 more
doaj   +1 more source

A Comprehensive Review of Coverage Path Planning in Robotics Using Classical and Heuristic Algorithms

open access: yesIEEE Access, 2021
The small battery capacities of the mobile robot and the un-optimized planning efficiency of the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in terms of speed and accuracy, putting a great constraint on the ...
Chee Sheng Tan   +2 more
semanticscholar   +1 more source

A Gridmap-Path Reshaping Algorithm for Path Planning

open access: yesIEEE Access, 2019
Path planning is a vital function of robotic systems. Different from existing roadmap algorithms which first determine the free space and then determine the collision-free path, researchers recently proposed several convex relaxation based smoothing ...
Chaoyi Sun, Qing Li, Li Li
doaj   +1 more source

Trajectory Planning on Grids: Considering Speed Limit Constraints [PDF]

open access: yes, 2011
Trajectory (path) planning is a well known and thoroughly studied field of automated planning. It is usually used in computer games, robotics or autonomous agent simulations. Grids are often used for regular discretization of continuous space.
Chrpa, Lukáš
core   +1 more source

Path planning and collision avoidance for autonomous surface vehicles I: a review

open access: yesJournal of Marine Science and Technology, 2021
Autonomous surface vehicles are gaining increasing attention worldwide due to the potential benefits of improving safety and efficiency. This has raised the interest in developing methods for path planning that can reduce the risk of collisions ...
Anete Vagale   +4 more
semanticscholar   +1 more source

Admissible Velocity Propagation : Beyond Quasi-Static Path Planning for High-Dimensional Robots

open access: yes, 2016
Path-velocity decomposition is an intuitive yet powerful approach to address the complexity of kinodynamic motion planning. The difficult trajectory planning problem is solved in two separate, simpler, steps: first, find a path in the configuration space
Caron, Stéphane   +3 more
core   +1 more source

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