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DTSTART:19450814T190000
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BEGIN:VEVENT

CATEGORIES:Entrepreneurship
CATEGORIES:Engineering
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Health/Wellness
CATEGORIES:Lecture/Talk
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-31fe9b29-00004eb2:Arnade-Col
 will\, Jac
CREATED:20231018T205030Z
DESCRIPTION:The AI Master of Engineering Industry Seminar Series presents 
 Dr. Stephen Odaibo\, Founder & CEO of RETINA-AI Health.  Dr. Odaibo will 
 be discussing his company's vision and progress on increasing healthcare 
 access globally by building cutting-edge AI that improves both quality an
 d affordability of highly specialized care\, beginning with diabetic reti
 nopathy screenings.  Dr. Odaibo will discuss his lessons learned on using
  AI in the healthcare field and opportunities for the future.
DURATION:PT1H
DTSTAMP:20231023T011344Z
DTSTART;TZID=America/New_York:20231027T101500
LAST-MODIFIED:20231023T011344Z
LOCATION;X-BEDEWORK-UID=18832e99-1f6846be-011f-6ad3bb4d-0000000f:Hudson Ha
 ll 208
STATUS:CONFIRMED
SUMMARY:AI Software as a Medical Device (Dr. Stephen Odaibo\, CEO & Founde
 r\, RETINA-AI Health)
UID:CAL-8a0382b5-8b29fde3-018b-448de05d-00001803demobedework@mysite.edu
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 liases/Topics/Engineering
X-BEDEWORK-SUBMIT-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Entrepreneurship:/pub
 lic/aliases/Topics/Entrepreneurship
X-BEDEWORK-SUBMIT-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Health_Wellness:/publ
 ic/aliases/Topics/Health_Wellness
X-BEDEWORK-CONTACT:Jon Reifschneider
X-BEDEWORK-SUBMIT-COMMENT:
X-BEDEWORK-SUBMITTER-EMAIL:Jon.reifschneider@duke.edu
X-BEDEWORK-DUKE-SPONSOR:/principals/users/agrp_PrattSchool
X-BEDEWORK-SUBMITTEDBY:jjr10
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 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use
 r/Topics/Engineering
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Entrepreneurship:/user/publi
 c-user/Topics/Entrepreneurship
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Health_Wellness:/user/public
 -user/Topics/Health_Wellness
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
 ties/Main
X-BEDEWORK-STUDENT-CONTACT:Jon Reifschneider
END:VEVENT
BEGIN:VEVENT

CATEGORIES:United States Focus
CATEGORIES:Engineering
CATEGORIES:Other
CATEGORIES:Utilities
CATEGORIES:Technology
CATEGORIES:Information Session
CATEGORIES:Main
CATEGORIES:Student
CONTACT;X-BEDEWORK-UID=8a03932d-8a96243a-018a-d22d3293-000053e1:Broadhead\
 , Hayley
CREATED:20240109T222509Z
DESCRIPTION:Join us to learn more bout the Pratt in San Francisco program 
 and the EGR 390A: Blockchain course. Program faculty will be available to
  answer students' questions about the program\, application requirements\
 , etc.
DURATION:PT1H
DTSTAMP:20240109T224747Z
DTSTART;TZID=America/New_York:20240125T173000
LAST-MODIFIED:20240109T224747Z
LOCATION;X-BEDEWORK-UID=18832e99-1f6846be-011f-6ad3bb4d-0000000f:Hudson Ha
 ll 208
STATUS:CONFIRMED
SUMMARY:Duke Pratt in San Francisco Information Session
UID:CAL-8a018ccf-8b87f80e-018c-f0545da2-00000b91demobedework@mysite.edu
URL:https://globaled.duke.edu/programs/pratt_san_francisco
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 ilities/Student
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X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Artsand
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X-BEDEWORK-SPEAKER:Global Education Office and Program Faculty
X-BEDEWORK-IMAGE-X1:0
X-BEDEWORK-IMAGE-Y1:0
X-BEDEWORK-IMAGE-X2:1059
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X-BEDEWORK-IMAGE-CROP-WIDTH:1059
X-BEDEWORK-IMAGE-CROP-HEIGHT:706
X-BEDEWORK-IMAGE-ALT-TEXT:Pratt in San Francisco Flyer: Study Brockchain (
 EGR 390A) in the Fintech Capital of the World!
X-BEDEWORK-SUBMITTEDBY:hb66 for OUE - Experiential Education (agrp_OUE_EE)
 
X-BEDEWORK-IMAGE:/public/Images/Pratt in San Francisco - Calendar_20240109
 102404PM.png
X-BEDEWORK-THUMB-IMAGE:/public/Images/Pratt in San Francisco - Calendar_20
 240109102404PM-thumb.png
END:VEVENT
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:20240311T164523Z
DESCRIPTION:Safety is central to autonomous systems since a single failure
  could lead to catastrophic results. In unstructured complex environments
  where system states and environment information are not available\, the 
 safety-critical control problem is much more challenging. In this talk\, 
 I will first discuss safety from a control theoretic perspective with Con
 trol Barrier Functions (CBFs). CBFs capture the evolution of the safety r
 equirements during the execution of a control system and can be used to g
 uarantee safety for all times due to their forward invariance. Next\, thi
 s talk will introduce an approach for extending the use of CBFs to machin
 e learning-based control\, using differentiable CBFs that are end-to-end 
 trainable and adaptively guarantee safety using environmental dependencie
 s. These novel safety layers give rise to new neural network (NN) archite
 ctures such as what we have termed BarrierNet.  In machine learning\, esp
 ecially for safety-critical control applications\, the interpretability o
 f a NN is crucial. The talk will further introduce a novel method called 
 invariance set propagation through the NN. This approach enables causal m
 anipulation of the NN's parameters or inputs with respect to output speci
 fications\, as well as introducing guarantees. Finally\, this talk will s
 how how we may achieve safety-critical planning and control using more po
 werful generative AI\, such as diffusion models\, for generalizable auton
 omy. These techniques have been applied to various robots\, such as auton
 omous ground vehicles\, vessels\, and flight vehicles\, legged robots\, r
 obot swarms\,  soft robots\, and manipulators.
DURATION:PT1H
DTSTAMP:20240320T152825Z
DTSTART;TZID=America/New_York:20240321T090000
LAST-MODIFIED:20240320T152825Z
LOCATION;X-BEDEWORK-UID=18832e99-1f6846be-011f-6ad3bb4d-0000000f:Hudson Ha
 ll 208
STATUS:CONFIRMED
SUMMARY:Certifiable Neural Control for Safe Autonomy
UID:CAL-8a0292fd-8d13410f-018e-2e6793f7-0000226fdemobedework@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-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc
 hool_BME,/principals/users/agrp_PrattSchool_CEE,/principals/users/agrp_Ar
 tsandSciences_ComputerScience,/principals/users/agrp_Institutes_Materials
 ScienceandEngineering,/principals/users/agrp_PrattSchool_ECE,":Biomedical
  Engineering (BME)\,Civil and Environmental Engineering (CEE)\,Computer S
 cience\,Duke Materials Initiative\,Electrical and Computer Engineering (E
 CE)
X-BEDEWORK-SPEAKER:Wei Xiao
X-BEDEWORK-IMAGE-ALT-TEXT:208 Hudson Hall
X-BEDEWORK-SUBMITTEDBY:ghester for Mechanical Engineering and Materials Sc
 ience (MEMS) (agrp_PrattSchool_MEMS)
END:VEVENT
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:20240320T152038Z
DESCRIPTION:Abstract: For a robot to prepare a meal or clean a room\, it m
 ust make a large array of decisions\, such as what objects to clean first
 \, where to grasp each ingredient and tool\, how to open a heavy\, overst
 uffed cabinet\, and so on. To enable robots to tackle these tasks\, I dec
 ompose the problem into two interdependent layers: generating a series of
  subgoals (i.e.\, a strategy) and solving for the robot behavior that ach
 ieves each of these subgoals. Critically\, to accomplish a rich set of ma
 nipulation tasks\, these subgoal solvers must account for force\, motion\
 , deformation\, contact\, uncertainty and partial observability.\n\nMy re
 search contributes models and algorithms for generating this kind of robo
 t behavior such that it both generalizes to new environments and can be c
 omposed into long-horizon strategies. In this talk\, I will first discuss
  how this approach has enabled robots to perform tasks that require reaso
 ning over and exerting force\, like opening a childproof medicine bottle 
 with a single arm. Next\, I will illustrate different ways robots can mak
 e robust choices in the face of uncertainty. For example\, this empowers 
 robots to reliably chop up fruit of unknown ripeness! Finally\, I propose
  how robots operating with uncertain dynamics can generate cautious behav
 ior\, such as shoving an object near the edge of the table without it fal
 ling.
DURATION:PT1H
DTSTAMP:20240320T152905Z
DTSTART;TZID=America/New_York:20240328T090000
LAST-MODIFIED:20240320T152905Z
LOCATION;X-BEDEWORK-UID=18832e99-1f6846be-011f-6ad3bb4d-0000000f:Hudson Ha
 ll 208
STATUS:CONFIRMED
SUMMARY:Dexterous Decision-Making for Real-World Robotic Manipulation
UID:CAL-8a0292fd-8d13410f-018e-5c733a99-00003776demobedework@mysite.edu
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 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_PrattSchool_CEE,/principals/users/agrp_Ar
 tsandSciences_ComputerScience,/principals/users/agrp_Institutes_Materials
 ScienceandEngineering,/principals/users/agrp_PrattSchool_ECE,":Biomedical
  Engineering (BME)\,Civil and Environmental Engineering (CEE)\,Computer S
 cience\,Duke Materials Initiative\,Electrical and Computer Engineering (E
 CE)
X-BEDEWORK-SPEAKER:Rachel Holladay
X-BEDEWORK-SUBMITTEDBY:ghester for Mechanical Engineering and Materials Sc
 ience (MEMS) (agrp_PrattSchool_MEMS)
END:VEVENT
END:VCALENDAR