The State-of-the-Art in Autonomous Wheelchairs Controlled through Natural Language: A Survey

Tom Williams and Matthias Scheutz

Natural language is a flexible and powerful control modality which can transform a wheelchair from a vehicle into a genuine helper. While autonomous wheelchairs are increasingly designed to use natural language for control, most of them only handle a small number of rigid commands. To establish the state-of-the-art in language-enabled wheelchairs and determine how to improve natural language capabilities, we introduce a framework for analyzing and classifying properties of language-enabled wheelchairs.

@article{williams2017ras,
  title={The State-of-the-Art in Autonomous Wheelchairs Controlled through Natural Language: A Survey},
  author={Tom Williams and Matthias Scheutz},
  year={2017},
  journal={Robotics and Autonomous Systems (in press)},
  url={https://hrilab.tufts.edu/publications/williams2017ras.pdf}
}