@Article{bouyarmane:fsn:2014,
  author    = {Bouyarmane, Karim and Vaillant, Joris and Sugimoto, Norikazu and Keith, Fran{\c c}ois and Furukawa, Jun-ichiro and Morimoto, Jun},
  title     = {Brain-machine interfacing control of whole-body humanoid motion},
  journal   = {Frontiers in Systems Neuroscience},
  year      = {2014},
  volume    = {8},
  number    = {138},
  pages     = {001--010},
  month     = {August},
  doi       = {https://doi.org/10.3389/fnsys.2014.00138},
  url       = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4122163/pdf/fnsys-08-00138.pdf/?tool=EBI},
  keywords  = {humanoid whole-body control, brain-machine interfacing, motor imagery, motion planning, semi-autonomous humanoid, contact support planning},
  abstract  = {We propose to tackle in this paper the problem of controlling whole-body humanoid robot behavior through non-invasive brain-machine interfacing (BMI), motivated by the perspective of mapping human motor control strategies to human-like mechanical avatar. Our solution is based on the adequate reduction of the controllable dimensionality of a high-DOF humanoid motion in line with the state-of-the-art possibilities of non-invasive BMI technologies, leaving the complement subspace part of the motion to be planned and executed by an autonomous humanoid whole-body motion planning and control framework. The results are shown in full physics-based simulation of a 36-degree-of-freedom humanoid motion controlled by a user through EEG-extracted brain signals generated with motor imagery task.},
  publisher = {FRONTIERS MEDIA SA},
  address   = {AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND}
}