Efficient and Trustworthy Social Navigation via Explicit and Implicit Robot–Human Communication

@article{Che2020EfficientAT,
  title={Efficient and Trustworthy Social Navigation via Explicit and Implicit Robot–Human Communication},
  author={Yuhang Che and Allison M. Okamura and Dorsa Sadigh},
  journal={IEEE Transactions on Robotics},
  year={2020},
  volume={36},
  pages={692-707}
}
  • Yuhang Che, Allison M. Okamura, Dorsa Sadigh
  • Published 2020
  • Computer Science, Mathematics, Engineering
  • IEEE Transactions on Robotics
  • In this article, we present a planning framework that uses a combination of implicit (robot motion) and explicit (visual/audio/haptic feedback) communication during mobile robot navigation. First, we developed a model that approximates both continuous movements and discrete behavior modes in human navigation, considering the effects of implicit and explicit communication on human decision-making. The model approximates the human as an optimal agent, with a reward function obtained through… CONTINUE READING

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    SHOWING 1-10 OF 68 REFERENCES

    Avoiding Human-Robot Collisions Using Haptic Communication

    VIEW 2 EXCERPTS

    Evaluating Directional Cost Models in Navigation

    VIEW 1 EXCERPT

    Robot navigation in dense human crowds: the case for cooperation

    VIEW 2 EXCERPTS

    Proactive kinodynamic planning using the Extended Social Force Model and human motion prediction in urban environments

    VIEW 1 EXCERPT

    Social navigation model based on human intention analysis using face orientation

    VIEW 1 EXCERPT