Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots

@article{Pilarski2012DynamicSA,
  title={Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots},
  author={Patrick M. Pilarski and Michael Rory Dawson and Thomas Degris and Jason P. Carey and Richard S. Sutton},
  journal={2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)},
  year={2012},
  pages={296-302}
}
A general problem for human-machine interaction occurs when a machine's controllable dimensions outnumber the control channels available to its human user. In this work, we examine one prominent example of this problem: amputee switching between the multiple functions of a powered artificial limb. We propose a dynamic switching approach that learns during ongoing interaction to anticipate user behaviour, thereby presenting the most effective control option for a given context or task. Switching… CONTINUE READING

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