Space-Time Continuum: Continuous Shape and Time State Estimation for Flexible Robots
<|reference_start|>Space-Time Continuum: Continuous Shape and Time State Estimation for Flexible Robots: This extended abstract introduces a novel method for continuous state estimation of continuum robots. We formulate the estimation problem as a factor-graph optimization problem using a novel Gaussian-process prior that is parameterized over both arclength and time. We use this to introduce the first continuous-time-and-space state estimation method for continuum robots.<|reference_end|>
@article{teetaert2024space-time,
    title={Space-Time Continuum: Continuous Shape and Time State Estimation for
  Flexible Robots},
    author={Spencer Teetaert, Sven Lilge, Jessica Burgner-Kahrs, Timothy D.
  Barfoot},
    journal={arXiv preprint arXiv:2409.12302},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.12302},
    primaryClass={cs.RO}
}