Results 111 to 120 of about 25,198 (167)

SHARP: a hybrid metaheuristic approach for intelligent robotic path planning. [PDF]

Sci Rep
Fakhouri H, Alawadi S, Galozy A, Alkhabbas F, Ayyad M, Banihani I, Alkharabsheh K, Aladwan M.   +7 more
europepmc   +1 more source

Optimization of Communication Tasks in an Energy-Efficient Swarm and the Spatial Distribution of Robots. [PDF]

Sensors (Basel)
Ijaz A, Haghbayan H, Nigussie E, Plosila J.   +3 more
europepmc   +1 more source

Algorithmic study on path and motion planning of robots

, 1992
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Nanoscale path planning and motion control

Proceedings of the 2005, American Control Conference, 2005., 2005
This paper addresses nanoscale path planning and motion control, which is essential in key nanomanufacturing applications such as microstereolithography (/spl mu/STL), dip-pen-nanolithography (DPN), and scanning applications for imaging and manipulation of nanoscale surface phenomena, with the magnetic-levitation (maglev) technology.
Huzefa Shakir, Won-jong Kim
openaire   +1 more source

Optimal path planning for the motion of a wheel

Proceedings of the 1994 IEEE International Conference on Robotics and Automation, 2002
In this paper, the authors examine optimal path planning for the motion of a wheel which minimizes some combination of time and effort expended. Several techniques are examined but a combination of continuation and multi-dimensional Newton-Raphson shooting is shown to be effective, within limits. >
Jonathan M. Cameron, Wayne J. Book
openaire   +1 more source

A gradient-based path optimization method for motion planning [PDF]

Advanced Robotics, 2016
Most algorithms in probabilistic sampling-based path planning compute collision-free paths made of straight line segments lying in the configuration space. Due to the randomness of sampling, the paths make detours that need to be optimized. The contribution of this paper is to propose a basic gradient-based (GB) algorithm that transforms a polygonal ...
Florent Lamiraux, Jean-Paul Laumond
exaly   +6 more sources

Generating optimized paths for motion planning

Robotics and Autonomous Systems, 2011
Abstract This paper addresses the optimization of paths generated using randomized algorithms. We shall present an iterative algorithm to optimize raw paths. However, unlike local post-processing optimizers, our method aims at a more global optimization of the initial path, if possible, performing a drastic topological update, but instead of re ...
Reda Guernane, Nouara Achour
openaire   +2 more sources