Abstract Details

Title: Artificial Intelligence in Autonomous Telescopes

Authors: William Mahoney And Karun Thanjavur

Abstract Submitted by: Karun Thanjavur

Institute/Affiliation: CFHT

Abstract Type: talk

Abstract Information:

Artificial Intelligence (AI) is key to the natural evolution of today’s automated telescopes to fully autonomous systems. Based on its rapid development over the past five decades, AI offers numerous, well-tested techniques for knowledge based decision making essential for real-time telescope monitoring and control, with minimal - and eventually no - human intervention. We present three applications of AI developed at CFHT for monitoring instantaneous sky conditions, assessing quality of imaging data, and a prototype for scheduling observations in real-time. Closely complementing the current remote operations at CFHT, we foresee further development of these methods and full integration in the near future.