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IEEE Signal Processing Society (SPS) ASI

IEEE Signal Processing Society (SPS) ASI

IEEE Autonomous Systems Initiative (ASI)

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IEEE SPS ASI @ ICASSP 2019

ASI will organize and sponsor a series of events at IEEE ICASSP 2019 (ASI@ICASSP)

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IEEE SPS ASI @ ICASSP 2019
admin April 3, 2019April 3, 2019 Conferences, News
  • ← Summer School on Signal Processing (S3P‐2019)
  • EUSIPCO 2019 Satellite Workshop on Signal Processing, Computer Vision and Deep Learning for Autonomous Systems →

Recent Posts

  • 2nd Workshop on Signal Processing for Autonomous Systems
  • HERMES workshop at ICRA 2023
  • IEEE ASI Webinar: Cooperative Perception “All at Once” with OpenCDA (Prof. J.Ma)
  • IEEE ASI Webinar: Socio-Physically Interactive Mobile Collaborative Robots (Dr. P.Ajoudani)
  • IEEE ASI Webinar: Perspectives and Opportunities in Trustworthy AI (Dr. P.Lewis)
  • IEEE ASI Webinar: TinyDSF: Bootstrapping Skills for Milirobots from First Principles (Prof. A.Jantsch)
  • IEEE ASI Webinar: Multi-modal sensing for physical human-robot interaction (Prof. A.Cavallaro)
  • IEEE ASI Webinar: Active Inference (Prof. K.Friston)
  • IEEE ASI Webinar: Computational Self-awareness and Self-organization: A Paradigm for Building Adaptive, Resilient Computing Platforms (Prof. N.Dutt)
  • Self-Improving System Integration: Mastering Continuous Change

Contact Us

 ASI Chair:
Lucio Marcenaro
Dipartimento di Ingegneria Navale, Elettrica, Elettronica e delle Telecomunicazioni (DITEN)
Università di Genova
Via All’Opera Pia 11
I- 16145 Genova , Italy

Tel +390103352060
Email: lucio.marcenaro@unige.it

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About This Site

Welcome to the IEEE Autonomous Systems Initiative (ASI) website. Learn, connect with and stay abreast of ASI activities. ASI is an initiative of the Signal Processing Society.

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About

Over the last decade, researchers have been proposing and investigating computing systems with advanced levels of autonomy in order to manage the ever-increasing requirements in complexity. An autonomous system is an artificial system able to perform a certain number of tasks

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