Reinforcement learning

Hybrid Trajectory and Force Learning of Complex Assembly Tasks: A Combined Learning Framework

Combining imitation learning with reinforcement learning to solve complex robotic assembly tasks.

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, …

Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach

Code available on request

Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots

A learning-based force control framework for position-controlled robots

Hybrid position-force control with reinforcement learning

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ロボットの制御装置、制御方法、及びプログラム

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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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Learning to grasp with guided policy search

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GYM-environment for UR3e robot in Gazebo/ROS

Simulation and real learning environment for Universal Robot arms.