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Dextrous in-hand manipulation with a multi-fingered robotic hand is a challenging task, esp.
1910
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2001
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B. Bäuml
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OpenAI, “Learning dexterous in-hand manipulation,”
2018
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R. Jonschkowski, D. Rastogi, and O. Brock, “Differentiable particle filters: End-to-end learning with algorithmic priors,” in
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P. Karkus, D. Hsu, and W. S. Lee, “Particle filter networks with application to visual localization,” in
2018
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2018
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M. C. Machado
2018
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T. Chen, J. Xu, and P. Agrawal, “A system for general in-hand object re-orientation,” in
2021
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E. Coumans and Y. Bai, “Pybullet, a python module for physics simulation for games, robotics and machine learning,”
2021
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L. Sievers, J. Pitz, and B. Bäuml, “Learning purely tactile in-hand manipulation with a torque-controlled hand,” in
2022
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A. Handa
2022
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G. Khandate, M. Haas-Heger, and M. T. Ciocarlie, “On the feasibility of learning finger-gaiting in-hand manipulation with intrinsic sensing,” in
2022
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L. Röstel, L. Sievers, J. Pitz, and B. Bäuml, “Learning a state estimator for tactile in-hand manipulation,” in
2022
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