A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm

• Jingnan Yan,

  Roles Conceptualization, Data curation, Methodology, Software, Validation, Writing – original draft

  Affiliation School of Technology, State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation, Beijing Forestry University, Beijing, China

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• Yue Wu ,

  Roles Conceptualization, Funding acquisition, Project administration, Resources

  * E-mail: wuyue_a@bjfu.edu.cn

  Affiliation School of Technology, State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation, Beijing Forestry University, Beijing, China

  https://orcid.org/0000-0002-9210-5103

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• Kexin Ji,

  Roles Validation

  Affiliation School of Technology, State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation, Beijing Forestry University, Beijing, China

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• Cheng Cheng,

  Roles Methodology

  Affiliation School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

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• Yili Zheng

  Roles Project administration, Resources

  Affiliation School of Technology, State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation, Beijing Forestry University, Beijing, China

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