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Robotics Engineering & Cybernetics
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Robust 6D Object Pose Estimation by Learning RGB-D Features
Posted by
Mark Field
in
Robotics Engineering & Cybernetics
and
Robotic Manipulation and Grasping
Computer Vision and Pattern Recognition
Accurate 6D object pose estimation is fundamental to robotic manipulation and grasping. Previous methods follow a local optimization approach which minimizes the distance between closest poi....
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A Deep Learning-Based Autonomous RobotManipulator for Sorting Application
Posted by
Mark Field
in
Robotics Engineering & Cybernetics
and
Robotic Manipulation and Grasping
Robotics
Robot manipulation and grasping mechanisms have received considerable attention in the recent past, leading to the development of wide range of industrial applications. This paper proposes t....
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Tabletop Object Rearrangement: Team ACRV's Entry to OCRTOC
Posted by
Mark Field
in
Robotics Engineering & Cybernetics
and
Robotic Manipulation and Grasping
Robotics
Open Cloud Robot Table Organization Challenge (OCRTOC) is one of the most comprehensive cloud-based robotic manipulation competitions. It focuses on rearranging tabletop objects using vision....
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State- and context-dependent robotic manipulation and grasping via uncertainty-a ...
Posted by
Mark Field
in
Robotics Engineering & Cybernetics
and
Robotic Manipulation and Grasping
Robotics
Artificial Intelligence
Machine Learning
Generating context-adaptive manipulation and grasping actions is a challenging problem in robotics. Classical planning and control algorithms tend to be inflexible with regard to parameteriz....
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