Wei, Minglun, Yang, Xintong ORCID: https://orcid.org/0000-0002-7612-614X, Lai, Yu-Kun ORCID: https://orcid.org/0000-0002-2094-5680, Amir Tafrishi, Seyed and Ji, Ze ORCID: https://orcid.org/0000-0002-8968-9902
2025.
A physics-informed demonstration-guided learning framework for granular material manipulation.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/tnnls.2025.3622482
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Wei, Minglun, Yang, Xintong ORCID: https://orcid.org/0000-0002-7612-614X, Yan, Junyu, Lai, Yu-Kun ORCID: https://orcid.org/0000-0002-2094-5680 and Ji, Ze ORCID: https://orcid.org/0000-0002-8968-9902
2025.
Celebi’s choice: causality-guided skill optimisation for granular manipulation via differentiable simulation.
Presented at: IROS 2025,
Hangzhou, China,
19-25 October 2025.
Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).
IEEE,
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Wei, Minglun, Yang, Xintong ORCID: https://orcid.org/0000-0002-7612-614X, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680 and Ji, Ze ORCID: https://orcid.org/0000-0002-8968-9902
2025.
Differentiable skill optimisation for powder manipulation in laboratory automation.
Presented at: IEEE/RSJ International Conference on Intelligent Robots and Systems,
Hangzhou, China,
19-25 October 2025.
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