Reliable Neuromorphic Perception and Control for Robotics (RNPC-R) Workshop

Abstract

Reliable Neuromorphic Perception and Control for Robotics (RNPC-R) Workshop. This is a meeting about neuromorphic perception and control methods as applied to robotics. The meeting will emphasise issues of reliability, safety and resource efficiency – key requirements for robotics, which will correspondingly focus the workshop towards debate and discussion on the question of how emerging neural network and other neuromorphic technologies could incorporate considerations associated with robotics. Robotics brings stringent constraints on size, weight and power constraints (SWaP), which challenges the developers of these technologies in new ways. Equally, the fact that learning and adaptation might happen on a real physical platform implies a significantly greater emphasis on ensuring safety and rendering automated decisions explainable. The purpose of this workshop is to bring together researchers with novel and interesting perspectives on this spectrum of technologies, nurturing conversations regarding existing synergies and open questions that will need to be addressed. It is hoped that such a meeting would facilitate the coming together of a community focussed specifically on these questions at the interdisciplinary interface.

Document Details

Document Type
DoD Grant Award
Publication Date
Jun 13, 2019
Source ID
N629091912072

Entities

People

  • Subramanian Ramamoorthy

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Edinburgh

Tags

Fields of Study

  • Medicine

Readers

  • Academic Conference Management
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control