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BEGIN:VEVENT

CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=18832edc-1b31c518-011b-40a23061-00000095:Hester\, G
 lenda
CREATED:20220131T170550Z
DESCRIPTION:Recent breathtaking advances in machine learning beckon to the
 ir applications in a wide range of real-world autonomous systems. However
 \, for safety-critical settings such as agile robotic control in hazardou
 s environments\, we must confront several key challenges before widesprea
 d deployment. Most importantly\, the learning system must interact with t
 he rest of the autonomous system (e.g.\, highly nonlinear and non-station
 ary dynamics) in a way that safeguards against catastrophic failures with
  formal guarantees. In addition\, from both computational and statistical
  standpoints\, the learning system must incorporate prior knowledge for e
 fficiency and generalizability.\nIn this talk\, I will present progress t
 owards establishing a unified framework that fundamentally connects learn
 ing and control. First\, I motivate the benefit and necessity of such a u
 nified framework by the Neural-Control Family\, a family of nonlinear dee
 p-learning-based control methods with not only stability and robustness g
 uarantees but also new capabilities in agile robotic control. Then I will
  discuss two interfaces between learning and control in the unified frame
 work: (1) meta-adaptive control\, and (2) competitive control.
DURATION:PT1H
DTSTAMP:20220131T190144Z
DTSTART;TZID=America/New_York:20220210T120000
LAST-MODIFIED:20220131T190144Z
LOCATION;X-BEDEWORK-UID=18832edc-1b287efb-011b-2c10ff6a-00000003:Teer 203
STATUS:CONFIRMED
SUMMARY:Safety-Critical Learning and Control in Dynamic Environments: Towa
 rds Unified Theory and Learned Robotic Agility
UID:CAL-8a018c3e-7eab12b1-017e-b119963e-000030d1demobedework@mysite.edu
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc
 hool_BME,/principals/users/agrp_ArtsandSciences_Chemistry,/principals/use
 rs/agrp_PrattSchool_CEE,/principals/users/agrp_ArtsandSciences_ComputerSc
 ience,/principals/users/agrp_Institutes_MaterialsScienceandEngineering,/p
 rincipals/users/agrp_PrattSchool_ECE,/principals/users/agrp__ArtsandScien
 ces_Mathematics,/principals/users/agrp__ArtsandSciences_Physics,":Biomedi
 cal Engineering (BME)\,Chemistry\,Civil and Environmental Engineering (CE
 E)\,Computer Science\,Duke Materials Initiative\,Electrical and Computer 
 Engineering (ECE)\,Mathematics\,Physics
X-BEDEWORK-SPEAKER:Guanya Shi
X-BEDEWORK-SUBMITTEDBY:ghester for Mechanical Engineering and Materials Sc
 ience (MEMS) (agrp_PrattSchool_MEMS)
END:VEVENT
END:VCALENDAR