Flowchart of DBO-BPNN prediction.

Flowchart of DBO-BPNN prediction.

<div><p>In this study, an adaptive force-position-speed collaborative process planning framework for robot polishing was proposed to improve the stability of the robot polishing process. The material removal model based on Preston’s theory was studied, and the factors of polishing pressu...

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Bibliographic Details
Main Author: Ma Haohao (22177538) (author)
Other Authors: Azizan As’arry (19648346) (author), Niu Jing (12052706) (author), Mohd Idris Shah Ismail (22177541) (author), Hafiz Rashidi Ramli (12050666) (author), M. Y. M. Zuhri (22177544) (author), Aidin Delgoshaei (22177547) (author)
Published: 2025
Subjects:
Biophysics
Neuroscience
Biotechnology
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
rbf neural networks
preston &# 8217
finite element analysis
experimental results show
0001 &# 181
manual polishing experiment
enhance force control
achieving high precision
robot polishing process
robot polishing
polishing pressure
high efficiency
adaptive force
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tool speed
surface roughness
strong guarantee
sandpaper type
roughness prediction
pd iteration
generate trajectories
feed speed
curved workpieces
baseline method
average compared
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