BEGIN:VCALENDAR CALSCALE:GREGORIAN VERSION:2.0 METHOD:PUBLISH PRODID:-//Drupal iCal API//EN X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU DTSTART:20070311T020000 TZNAME:EDT TZOFFSETTO:-0400 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU DTSTART:20071104T020000 TZNAME:EST TZOFFSETTO:-0500 END:STANDARD END:VTIMEZONE BEGIN:VEVENT SEQUENCE:1 X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC 224171 20250917T151408Z DTSTART;TZID=America/New_York:20250924T120000 DTEND;TZID=America/New_York:2 0250924T130000 URL;TYPE=URI:/news/calendar/events/rbe-c olloquium-speaker-series-professor-wei-xiao RBE Colloquium Speaker Series: Professor Wei Xiao Control Barrier Functions for X\n\n\n\n \n \n\n\n\nAbstract: Safe ty is central to autonomous systems and robots since a single failure coul d lead to catastrophic results.In unstructured complex environments where system states and environment information are not available, thesafety-cri tical control problem ismuch morechallenging.In this talk, I will first di scusssafety from a control theoretic perspective withControl Barrier Funct ions (CBFs). CBFs capturethe evolution of thesafety requirements during th e execution of a controlsystem and can be used to guaranteesafety for all times due to their forward invariance, and this method has been shown to b e very effective and efficient for nonlinear systems and constraints. Then I will discuss how to apply CBFs to different areas, such as control syst ems, robotics (autonomous ground vehicles, surface vessels, and flight veh icles, legged robots, robot swarms,soft robots, and manipulators), and mac hine learning (sequential and generative AI models), both in simulation an d in real world experiments.\nBio: Wei Xiaois currently an assistant profe ssor at the WPI robotics engineering department. He was a postdoctoral ass ociate at the Computer Science and Artificial Intelligence lab (CSAIL), Ma ssachusetts Institute of Technology. Before that,he received hisPh.D. degr ee from the Boston University, Brookline,MA, USA in 2021. His research int erests include safety-criticalcontrol theory and trustworthy machine learn ing, with a particularemphasis on robotics and multi-agent systems. He rec eivedan Outstanding Dissertation Award at Boston University, anOutstanding Student Paper Award at the 2020IEEE Conference on Decision and Control, a nd a Best Paper Nomination at ACM/IEEE ICCPS 2021.\n END:VEVENT END:VCALENDAR