robotic_arm_environment
Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning.
Simulate and test a robotic arm's movements in a virtual space, using reinforcement learning techniques for training.
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robotic_arm_environment has 352 stars on GitHub. It has been forked 49 times. robotic_arm_environment is written mainly in Python. It has been in active development since 2021. robotic_arm_environment is available under the MIT license. Its main topics are doosan, gazebo-simulator, reinforcement-learning, robotic-arm.
What is robotic_arm_environment?
Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning.
Is robotic_arm_environment open source?
robotic_arm_environment is an open-source project. It is released under the MIT license.
Is robotic_arm_environment free?
Yes. robotic_arm_environment is free and open source — you can use, modify and self-host it.
What license does robotic_arm_environment use?
robotic_arm_environment is available under the MIT license.
What language is robotic_arm_environment written in?
robotic_arm_environment is written mainly in Python.
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