The total reward diagram for the constant force control of the robot grinding planar.

<p>The total reward diagram for the constant force control of the robot grinding planar.</p>

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Bibliographic Details
Main Author: Qichao Wang (5132438) (author)
Other Authors: Linlin Chen (84486) (author), Qun Sun (806350) (author), Chong Wang (120449) (author), Yanxia Wei (848911) (author)
Published: 2025
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_version_ 1852020707996729344
author Qichao Wang (5132438)
author2 Linlin Chen (84486)
Qun Sun (806350)
Chong Wang (120449)
Yanxia Wei (848911)
author2_role author
author
author
author
author_facet Qichao Wang (5132438)
Linlin Chen (84486)
Qun Sun (806350)
Chong Wang (120449)
Yanxia Wei (848911)
author_role author
dc.creator.none.fl_str_mv Qichao Wang (5132438)
Linlin Chen (84486)
Qun Sun (806350)
Chong Wang (120449)
Yanxia Wei (848911)
dc.date.none.fl_str_mv 2025-05-07T17:38:30Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0319440.g010
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/The_total_reward_diagram_for_the_constant_force_control_of_the_robot_grinding_planar_/28948256
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biotechnology
Ecology
Cancer
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
traditional control methods
proximal policy optimization
perceivable force information
simulation results demonstrate
poor environmental adaptability
grinding force difference
controller trained using
simulation model
grinding robot
environmental model
xlink ">
high dependence
environment model
controller model
dc.title.none.fl_str_mv The total reward diagram for the constant force control of the robot grinding planar.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p>The total reward diagram for the constant force control of the robot grinding planar.</p>
eu_rights_str_mv openAccess
id Manara_00a6f2c06b39a8a2f57011b2f79e5c15
identifier_str_mv 10.1371/journal.pone.0319440.g010
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/28948256
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling The total reward diagram for the constant force control of the robot grinding planar.Qichao Wang (5132438)Linlin Chen (84486)Qun Sun (806350)Chong Wang (120449)Yanxia Wei (848911)BiotechnologyEcologyCancerScience PolicySpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedtraditional control methodsproximal policy optimizationperceivable force informationsimulation results demonstratepoor environmental adaptabilitygrinding force differencecontroller trained usingsimulation modelgrinding robotenvironmental modelxlink ">high dependenceenvironment modelcontroller model<p>The total reward diagram for the constant force control of the robot grinding planar.</p>2025-05-07T17:38:30ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0319440.g010https://figshare.com/articles/figure/The_total_reward_diagram_for_the_constant_force_control_of_the_robot_grinding_planar_/28948256CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/289482562025-05-07T17:38:30Z
spellingShingle The total reward diagram for the constant force control of the robot grinding planar.
Qichao Wang (5132438)
Biotechnology
Ecology
Cancer
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
traditional control methods
proximal policy optimization
perceivable force information
simulation results demonstrate
poor environmental adaptability
grinding force difference
controller trained using
simulation model
grinding robot
environmental model
xlink ">
high dependence
environment model
controller model
status_str publishedVersion
title The total reward diagram for the constant force control of the robot grinding planar.
title_full The total reward diagram for the constant force control of the robot grinding planar.
title_fullStr The total reward diagram for the constant force control of the robot grinding planar.
title_full_unstemmed The total reward diagram for the constant force control of the robot grinding planar.
title_short The total reward diagram for the constant force control of the robot grinding planar.
title_sort The total reward diagram for the constant force control of the robot grinding planar.
topic Biotechnology
Ecology
Cancer
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
traditional control methods
proximal policy optimization
perceivable force information
simulation results demonstrate
poor environmental adaptability
grinding force difference
controller trained using
simulation model
grinding robot
environmental model
xlink ">
high dependence
environment model
controller model