Adversarial Body Shape Search for Legged Robots

@article{Azakami2022AdversarialBS,
  title={Adversarial Body Shape Search for Legged Robots},
  author={Takaaki Azakami and Hiroshi Kera and K. Kawamoto},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.10187}
}
—We propose an evolutionary computation method for an adversarial attack on the length and thickness of parts of legged robots by deep reinforcement learning. This attack changes the robot body shape and interferes with walking—we call the attacked body as adversarial body shape . The evolu- tionary computation method searches adversarial body shape by minimizing the expected cumulative reward earned through walking simulation. To evaluate the effectiveness of the proposed method, we perform… 

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