Generating Constant Screw Axis Trajectories With Quintic Time Scaling For End-Effector Using Artificial Neural Network And Machine Learning

Aryslan Malik, Yevgeniy Lischuk, Troy Henderson, Richard Prazenica. Generating Constant Screw Axis Trajectories With Quintic Time Scaling For End-Effector Using Artificial Neural Network And Machine Learning. In IEEE Conference on Control Technology and Applications, CCTA 2021, San Diego, CA, USA, August 9-11, 2021. pages 1128-1134, IEEE, 2021. [doi]

@inproceedings{MalikLHP21,
  title = {Generating Constant Screw Axis Trajectories With Quintic Time Scaling For End-Effector Using Artificial Neural Network And Machine Learning},
  author = {Aryslan Malik and Yevgeniy Lischuk and Troy Henderson and Richard Prazenica},
  year = {2021},
  doi = {10.1109/CCTA48906.2021.9658657},
  url = {https://doi.org/10.1109/CCTA48906.2021.9658657},
  researchr = {https://researchr.org/publication/MalikLHP21},
  cites = {0},
  citedby = {0},
  pages = {1128-1134},
  booktitle = {IEEE Conference on Control Technology and Applications, CCTA 2021, San Diego, CA, USA, August 9-11, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3643-4},
}