OpenVR: Teleoperation for Manipulation

George, Abraham, Bartsch, Alison, Farimani, Amir Barati

arXiv.org Artificial Intelligence 

Although the ability choice among game developers, used by 61% of developers for a human to take control of a robot is useful in a [5]. Similarly, the Oculus Quest 2 was chosen because wide range of disciplines, this paper will focus on the it is the most popular XR (Virtual Reality + Augmented application of teleoperation in machine learning (ML). One Reality) headset on the market, making up 66% of all of the key challenges of robotic ML is the collection of units shipped in Q2 of 2022 [6]. Although the teleoperation expert trajectories to use for training Imitation Learning program is built for the Franka Emika Panda robot or Reinforcement Learning (with expert demonstrations). In arm, our implementation is designed such that any robot recent years, many advancements have been made in the manipulator can be substituted in for the Panda Arm with field of reinforcement learning, including work where the use minor alterations to the code. Our code can be found at: of human demonstrations has proven vital [1]-[3].

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