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DTSTART;TZID=America/New_York:20260410T150000
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 0260410T155000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/elect
 rical-computer-engineering-graduate-seminar-lecture-speaker-michael-mcmanu
 s-charles-stark
Electrical \& Computer Engineering Graduate Seminar Lecture, Speaker: Micha
 el McManus, Charles Stark Draper Laboratory
Title:\nNavigating in the Presence of Uncertainty: Why we love Bayes’ Rul
 e\nAbstract:\nAccurate state estimation is essential for challenging guida
 nce tasks such as lunar landing, submarine-launched rockets, and UAV navig
 ation in cluttered environments. These problems require handling significa
 nt uncertainties arising from sensor noise, unmodeled dynamics, and variab
 le environmental conditions. This talk explores how Bayesian estimation te
 chniques, ranging from Kalman filtering to more advanced nonlinear methods
 , enable robust Guidance, Navigation, and Control (GN\&C) solutions in suc
 h\nscenarios. We will examine several real-world applications, discuss the
  modeling and computational considerations involved, and highlight lessons
  learned from Draper’s long history in GN\&C system development.\n\n\n\n
 Image\n  \n\n\n\nSpeaker:\nMichael McManus\nCharles Stark Draper Laborator
 y\nBio:\nMichael McManus is the Group Lead of the APNT and Tracking Group 
 at the Charles Stark Draper Laboratory. Michael’s career-to-date, spanni
 ng 17+ years, has focused on developing advanced estimation algorithms and
  software for a variety of applications in both the Aerospace and Healthca
 re industries. Michael has worked at Draper for over 4 years. He spent 12 
 years working at a healthcare startup called Etiometry, where he led the t
 eam that developed the company’s FDA[1]cleared patient tracking algorith
 ms. Michael started his career in the Advanced Algorithms group at Lockhee
 d Martin Missiles and Fire Control in Orlando, FL after receiving his Bach
 elor of Science degree in Aerospace Engineering from Boston University.\n\
 nHost: Professor Alex Wyglinski\n
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