WEBINAR: "Mobile Robots - Estimation problems"

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Mobile robots are nowadays having an undisputed pervasiveness in modern society. Autonomous driving cars as well as applications of service robots (e.g. cleaning robots, companion robots, intelligent healthcare solutions, tour-guided systems) are becoming more and more popular and a general acceptance is now developing around such systems in modern societies. Nonetheless, one of the major problems in building such applications relies on the capability of autonomous systems to understand their surroundings and then plan proper counteractions. Besides learning-based tools, the classical concepts of metrology, such as standard uncertainty, accuracy, and precision, are still unavoidable for a clear and effective understanding of modern mobile robot applications. In this talk, some fundamental measurement concepts will be revised in this domain. In particular, we will cover the main concepts of the statistical approach to measurements that will then be applied to the positioning, localization, and control of mobile robots.



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  • Date: 17 Jun 2022
  • Time: 08:00 AM to 09:00 AM
  • All times are (GMT-06:00) US/Central
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  • Houston, Texas
  • United States

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  • Co-sponsored by IMEKO, Technical Committee on Robotic Measurement, TC17
  • Starts 28 April 2022 07:05 PM
  • Ends 15 June 2022 05:00 PM
  • All times are (GMT-06:00) US/Central
  • No Admission Charge


  Speakers

Daniele of University of Trento - Italy

Topic:

Webinar: "Mobile Robots - Estimation problems"

Mobile robots are nowadays having an undisputed pervasiveness in modern society. Autonomous driving cars as well as applications of service robots (e.g. cleaning robots, companion robots, intelligent healthcare solutions, tour-guided systems) are becoming more and more popular and a general acceptance is now developing around such systems in modern societies. Nonetheless, one of the major problems in building such applications relies on the capability of autonomous systems to understand their surroundings and then plan proper counteractions. Besides learning-based tools, the classical concepts of metrology, such as standard uncertainty, accuracy, and precision, are still unavoidable for a clear and effective understanding of modern mobile robot applications. In this talk, some fundamental measurement concepts will be revised in this domain. In particular, we will cover the main concepts of the statistical approach to measurements that will then be applied to the positioning, localization, and control of mobile robots.

Biography:

Daniele Fontanelli (M’09, S’19) received an M.S. degree in Information Engineering in 2001, and a Ph.D. degree in Automation, Robotics, and Bioengineering in 2006, both from the University of Pisa, Pisa, Italy.  He was a Visiting Scientist with the Vision Lab of the University of California at Los Angeles, Los Angeles, US, from 2006 to 2007.  From 2007 to 2008, he has been an Associate Researcher with the Interdepartmental Research Center ``E. Piaggio'', University of Pisa.  In 2008 he joined the University of Trento, Trento, Italy, where he is now an Associate Professor.  He has authored and co-authored more than 160 scientific papers in peer-reviewed top journals and conference proceedings.  He is currently an Associate Editor in Chief for the IEEE Transactions on Instrumentation and Measurement, while he is an Associate Editor for the IET Science, Measurement and Technology Journal and the IEEE Robotics and Automation Letters. His research interests include localization algorithms, wheeled mobile robots, service robotics, synchro-phasor estimation, clock synchronization algorithms, real-time estimation and control, and resource-aware control.

Dr Fontanelli is a member of International Measurement Confederation (IMEKO), Technical Committee on Robotics Measurement (TC-17) [email: daniele.fontanelli@unitn.it]

Address:Italy