Keep the Human in the Loop: Arguments for Human Assistance in the Synthesis of Simulation Data for Robot Training

Keep the Human in the Loop: Arguments for Human Assistance in the Synthesis of Simulation Data for Robot Training

Robot training often takes place in simulated environments, particularly with reinforcement learning. Therefore, multiple training environments are generated using domain randomization to ensure transferability to real-world applications and compensate for unknown real-world states. We propose impro...

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Bibliographic Details
Main Authors: Carina Liebers, Pranav Megarajan, Jonas Auda, Tim C. Stratmann, Max Pfingsthorn, Uwe Gruenefeld, Stefan Schneegass
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Multimodal Technologies and Interaction
Subjects:
robot training
human-in-the-loop
simulation
machine learning
Online Access:https://www.mdpi.com/2414-4088/8/3/18

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https://www.mdpi.com/2414-4088/8/3/18

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