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 204791 20250221T110842Z DTSTART;TZID=America/New_York:20250225T140000 DTEND;TZID=America/New_York:2 0250225T150000 URL;TYPE=URI:/news/calendar/events/robot ics-engineering-colloquium-speaking-series-dr-weiyu-liu Robotics Engineering Colloquium Speaking Series: Dr. Weiyu Liu Building Robots with Structured Commonsense Knowledge\n\n\n\n \n \n\n\n\nAbstract: Robotics can transform our lives by providing assistance in various place s, from homes to hospitals and disaster zones. Realizing this vision requi res autonomous systems that can operate in unstructured environments, adap t to new situations, and interpret instructions from non-expert users. Yet current robots often fall short because they lack a general understanding of the world, the kind of common knowledge humans possess. In this talk, I will discuss frameworks driven by structured commonsense knowledge that addresses these challenges. We will focus on three key aspects: knowledge domains covering objects, spatial relations, and tasks; computational meth ods for jointly reasoning about language, vision, and physical actions; an d knowledge sources including human-provided language instructions and lar ge language models. By integrating these components, we move closer to dev eloping robots that can effectively leverage prior knowledge, generalize, and provide meaningful assistance in real-world environments.\nBio: Weiyu Liu is a postdoctoral researcher in the Computer Science Department at Sta nford University, working with Professor Jiajun Wu. His research brings to gether ideas from robotics, AI, and ML to develop robots with commonsense knowledge and the ability to operate autonomously in unstructured environm ents. Before joining Stanford, Weiyu completed his Ph.D. in Robotics at th e Georgia Institute of Technology under the supervision of Professor Sonia Chernova. During his graduate studies, he interned at the NVIDIA Seattle Robotics Lab and collaborated with Facebook AI Research. He received his B achelor鈥檚 degree in Electrical Engineering from Georgia Tech. He was sel ected as a Robotics: Science and Systems (RSS) Pioneer in 2022 and contrib uted to the 2024 US National Robotics Roadmap.\nZoom link: https://wpi.zoo m.us/j/93413349160\n END:VEVENT END:VCALENDAR