Noise-tolerant identification and tuning approach using deep neural networks for visual servoing applications

HIGHLIGHTS

• who: IEEE TRANSACTIONS ON ROBOTICS and colleagues from the Lakmal Seneviratne are with the Center for Autonomous Robotic Systems, Khalifa University, Abu Dhabi, United Arab Emirates (e-mail: have published the paper: Noise-Tolerant Identification and Tuning Approach Using Deep Neural Networks for Visual Servoing Applications, in the Journal: (JOURNAL) of 19/07/2022
• what: The authors propose a novel approach for real-time and of visual servoing systems. The research presented in this article was motivated by the limitations of the current DNN-MRFT for UAV visual servoing tasks. The authors show that this . . .
  

   

  

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