Generative adversarial networks and data clustering for likable drone design

HIGHLIGHTS

• who: Lee J. Yamin and Jessica R. Cauchard from the Magic Lab, Department of Industrial Engineering and Management, Ben Gurion University of the Negev have published the article: Generative Adversarial Networks and Data Clustering for Likable Drone Design, in the Journal: Sensors 2022, 22, 6433. of /2022/
• what: Motivated by their promising results, the authors explore a fully computational approach using StyleGAN2-ADA with the aim to generate new likable drone designs without human intervention. As the interest in drones in social contexts is increasing, in this work, the authors focus on the perceived likability . . .
  

   

  

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