GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration - researchr publication authors

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Bin Ye, Peng Yu, Cong Hu, Binbin Qiu, Ning Tan. GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration. In Biao Luo, Long Cheng 0001, Zheng-Guang Wu, Hongyi Li 0001, Chaojie Li, editors, Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part IV. Volume 14450 of Lecture Notes in Computer Science, pages 18-30, Springer, 2023. [doi]

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