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A pivotal challenge in robotics is achieving fast, safe, and robust dexterous grasping across a diverse range of objects, an important goal within industrial applications.
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Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation
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Dextreme: Transfer of agile in-hand manipulation from simulation to reality
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Geometric fabrics: a safe guiding medium for policy learning
K. Van Wyk, A. Handa, V. Makoviychuk, Y. Guo, A. Allshire, and N. D. Ratliff · 2024
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Dexdiffuser: Generating dexterous grasps with diffusion models
Z. Weng, H. Lu, D. Kragic, and J. Lundell · 2024
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