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Robust 6D Object Pose Estimation by Learning RGB-D Features
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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
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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
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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-aware imitation learning
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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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