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Diverse demonstration datasets have powered significant advances in robot learning, but the dexterity and scale of such data can be limited by the hardware cost, the hardware robustness, and the ease of teleoperation.
Mujoco: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
Earlier work this paper cites.
Intel realsense stereoscopic depth cameras
L. Keselman, J. Iselin Woodfill, A. Grunnet-Jepsen, and A. Bhowmik · 2017
Earlier work this paper cites.
Google scanned objects: A high-quality dataset of 3d scanned household items, 2022
L. Downs, A. Francis, N. Koenig, B. Kinman, R. Hickman, K. Reymann, T. B. McHugh, and V. Vanhoucke · 2022
Earlier work this paper cites.
Robot operating system 2: Design, architecture, and uses in the wild
S. Macenski, T. Foote, B. Gerkey, C. Lalancette, and W. Woodall · 2022
Cited alongside, same era.
MuJoCo Menagerie: A collection of high-quality simulation models for MuJoCo, 2022
K. Zakka, Y. Tassa, and MuJoCo Menagerie Contributors · 2022
Cited alongside, same era.
Viperx 300 robot arm 6dof, a
Trossen Robotics · 2024
Cited alongside, same era.
Widowx 250 robot arm 6dof, b
Trossen Robotics · 2024
Closest in time.
Learning fine-grained bimanual manipulation with low-cost hardware, 2023
T. Z. Zhao, V. Kumar, S. Levine, and C. Finn · 2024
Closest in time.
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