Integration of a Human-aware Risk-based Braking System into an Open-Field Mobile Robot. Mayoral, J. C., Grimstad, L., From, P. J., & Cielniak, G. In IEEE International Conference on Robotics and Automation (ICRA), pages 2435–2442, October, 2021. IEEE.
Integration of a Human-aware Risk-based Braking System into an Open-Field Mobile Robot [link]Paper  doi  abstract   bibtex   
Safety integration components for robotic applications are a mandatory feature for any autonomous mobile application, including human avoidance behaviors. This paper proposes a novel parametrizable scene risk evaluator for open-field applications that use humans motion predictions and pre-defined hazard zones to estimate a braking factor. Parameters optimization uses simulated data. The evaluation is carried out by simulated and real-time scenarios, showing the impact of human predictions in favor of risk reductions on agricultural applications.
@inproceedings{lincoln44427,
           month = {October},
          author = {Jose C. Mayoral and Lars Grimstad and P{\r a}l J. From and Grzegorz Cielniak},
       booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
           title = {Integration of a Human-aware Risk-based Braking System into an Open-Field Mobile Robot},
       publisher = {IEEE},
             doi = {10.1109/ICRA48506.2021.9561522},
           pages = {2435--2442},
            year = {2021},
        keywords = {ARRAY(0x56546f015068)},
             url = {https://eprints.lincoln.ac.uk/id/eprint/44427/},
        abstract = {Safety integration components for robotic applications are a mandatory feature for any autonomous mobile
application, including human avoidance behaviors. This paper proposes a novel parametrizable scene risk evaluator for
open-field applications that use humans motion predictions and pre-defined hazard zones to estimate a braking factor.
Parameters optimization uses simulated data. The evaluation is carried out by simulated and real-time scenarios, showing the impact of human predictions in favor of risk reductions on agricultural applications.}
}

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