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TS is an innovative teleoperation system designed to streamline the collection of high-quality datasets for training robots, particularly for manual and bimanual tasks. Built on a joint-matching strategy, it enables users to intuitively control a robot by mirroring its joint movements.
TS is engineered for reliability, cost-effectiveness, and ease of reproduction. This makes it an accessible tool not only for well-funded research laboratories but also for startups and individual researchers passionate about advancing robotics through imitation learning.
TS is available in three distinct configurations: UR (6 DoF), Franca (7 DoF), and Cross. Its modular architecture enables seamless adaptation across a wide range of robotic platforms, ensuring compatibility with diverse models and broadening the scope of potential applications.
A series of experiments has demonstrated TS’s ability to effectively perform complex bimanual tasks. These results highlight its potential to accelerate research in robotics by providing a reliable tool for data collection and the development of new algorithms.
TS offers a powerful solution for those working to advance robotic systems, combining intuitive control, affordability, and adaptability. It stands as a valuable asset in the evolution of robot learning technologies.
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The tutorial is omitted for submission, but you can explore it after the paper is published! We offer a complete materials list and a clear video guide to assemble TS from the ground up.
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