Machine learning approaches to environmental disturbance rejection in multi-axis optoelectronic force sensors

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 01, 2016
Source ID
10.1016/j.sna.2016.06.036

Entities

People

  • C. Walsh
  • F. Doshi-velez
  • J. Gafford
  • R. Kevin Wood

Organizations

  • Defense Advanced Research Projects Agency
  • Harvard School of Engineering and Applied Sciences
  • Wyss Institute for Biologically Inspired Engineering

Tags

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems