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Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning

Robotic assembly tasks involve complex and low-clearance insertion trajectories with varying contact forces at different stages. While the nominal motion trajectory can be easily obtained from human demonstrations through kinesthetic teaching, …

Hybrid position-force control with reinforcement learning

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Learning to Grasp with Primitive Shaped Object Policies

Towards the automation of assembly tasks using industrial robot manipulators, improving the robotic grasping is essential. In this paper, we employed a reinforcement learning method based on the policy search algorithm, call Guided Policy Search, to …

Reinforcement Learning Framework for Real-world Robotic Arm

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Industry 4.0, Intelligent Visual Assisted Picking Approach

A novel intelligent visual assisted picking task approach, for industrial manipulator robot

Learning to grasp with guided policy search

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