Results 121 to 130 of about 15,243 (168)

From data to treatment plan: An AI-driven path for automated breast radiotherapy planning. [PDF]

open access: yesJ Appl Clin Med Phys
Gallego P   +17 more
europepmc   +1 more source

A Neural Network Approach to Complete Coverage Path Planning

IEEE Transactions on Systems, Man, and Cybernetics, 2004
Complete coverage path planning requires the robot path to cover every part of the workspace, which is an essential issue in cleaning robots and many other robotic applications such as vacuum robots, painter robots, land mine detectors, lawn mowers, automated harvesters, and window cleaners.
Simon X Yang, Chaomin Luo
exaly   +3 more sources

Complete coverage path planning and performance factor analysis for autonomous bulldozer

Journal of Field Robotics, 2022
AbstractWith the development of intelligent machinery, path planning of autonomous bulldozers plays an important role to solve the problems of efficiency in future construction sites. How to plan the path that meets the construction requirements is the key problem.
Rao Li, Cheng Zhou, Quanli Dou, Bin Hu
exaly   +2 more sources

Complete coverage path planning of mobile robots for humanitarian demining

Industrial Robot, 2012
PurposeThe purpose of this paper is to present a path planning algorithm for a non‐circular shaped mobile robot to autonomously navigate in an unknown area for humanitarian demining. For that purpose the path planning problem comes down to planning a path from some starting location to a final location in an area so that the robot covers all the ...
Ivan Petrović
exaly   +5 more sources

An Algorithm of Complete Coverage Path Planning for Autonomous Underwater Vehicles

open access: yesKey Engineering Materials, 2011
Complete coverage path planning (CCPP) is an essential issue for Autonomous Underwater Vehicles’ (AUV) tasks, such as submarine search operations and complete coverage ocean explorations. A CCPP approach based on biologically inspired neural network is proposed for AUVs in the context of completely unknown environment.
Ming Zhong Yan, Da Qi Zhu
openaire   +2 more sources

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