Socially compliant mobile robot navigation via inverse reinforcement learning

@article{Kretzschmar2016SociallyCM,
  title={Socially compliant mobile robot navigation via inverse reinforcement learning},
  author={Henrik Kretzschmar and Markus Spies and Christoph Sprunk and Wolfram Burgard},
  journal={The International Journal of Robotics Research},
  year={2016},
  volume={35},
  pages={1289 - 1307}
}
  • Henrik Kretzschmar, Markus Spies, +1 author Wolfram Burgard
  • Published in I. J. Robotics Res. 2016
  • Mathematics, Computer Science
  • Mobile robots are increasingly populating our human environments. To interact with humans in a socially compliant way, these robots need to understand and comply with mutually accepted rules. In this paper, we present a novel approach to model the cooperative navigation behavior of humans. We model their behavior in terms of a mixture distribution that captures both the discrete navigation decisions, such as going left or going right, as well as the natural variance of human trajectories. Our… CONTINUE READING

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