Intercepting Rogue Robots: An Algorithm for Capturing Multiple Evaders With Multiple Pursuers

@article{pierson_intercepting_2017,
  title = {Intercepting {Rogue} {Robots}: {An} {Algorithm} for {Capturing} {Multiple} {Evaders} {With} {Multiple} {Pursuers}},
  volume = {2},
  issn = {2377-3766, 2377-3774},
  shorttitle = {Intercepting {Rogue} {Robots}},
  url = {http://ieeexplore.ieee.org/document/7801073/},
  abstract = {We propose a distributed algorithm for the cooperative pursuit of multiple evaders using multiple pursuers in a bounded, convex environment. The algorithm is suitable for intercepting rogue drones in protected airspace, among other applications. The pursuers do not know the evaders’ policy, but by using a global “area-minimization” strategy based on a Voronoi tessellation of the environment, we guarantee the capture of all evaders in ﬁnite time. We present a decentralized version of this policy applicable in 2D and 3D environments, and show in multiple simulations that it outperforms other decentralized multi-pursuer heuristics. Experiments with both autonomous and human-controlled robots were conducted to demonstrate the practicality of the approach. Speciﬁcally, human controlled evaders are not able to avoid capture with the algorithm.},
  language = {en},
  number = {2},
  urldate = {2020-09-15},
  journal = {IEEE Robotics and Automation Letters},
  author = {Pierson, Alyssa and Wang, Zijian and Schwager, Mac},
  month = apr,
  year = {2017},
  keywords = {pursuit\_evasion},
  pages = {530--537},
  month_numeric = {4}
}