Now showing items 1-2 of 2

    • Evaluating the reliability of inexpensive hardware to test autonomous benchmarking problems 

      Evans, Cade; Tran, Dang M.; He, Hongsheng (Wichita State University, 2021)
      Autonomous mobile robots are on the forefront of cutting-edge technology, taking advantage of recent developments in artificial intelligence, battery efficiency and sensor technology that all adds up to an expensive machine. ...
    • Reducing noise to improve robotic material recognition 

      Peterson, Mary; Li, Hui; He, Hongsheng (Wichita State University, 2021)
      Denoising Autoencoders (DAEs) are a machine learning tool used to reconstruct noisy data in a way that reduces noise, allowing artificial intelligence systems to better recognize patterns in data or images. An autoencoder ...