BEGIN:VCALENDAR VERSION:2.0 PRODID:-//128.220.36.25//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Laboratory for Computational Sensing + Robotics X-WR-CALDESC: X-FROM-URL:https://lcsr.jhu.edu X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20231105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RDATE:20241103T020000 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20240310T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RDATE:20250309T020000 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-13134@lcsr.jhu.edu DTSTAMP:20240328T124603Z CATEGORIES: CONTACT:Ashley Moriarty\; amoriar2@jhu.edu DESCRIPTION:Link for Live Seminar\nLink for Recorded seminars – 2022/2023 s chool year\n \nAbstract: Robots have begun to transition from assembly lin es\, where they are physically separated from humans\, to human-populated environments and human-enhancing applications\, where interaction with peo ple is inevitable. With this shift\, research in human-robot interaction ( HRI) has grown to allow robots to work with and around humans on complex t asks\, augment and enhance people\, and provide the best support to them. In this talk\, I will provide an overview of the work performed in the HIR O Group and our efforts toward intuitive\, human-centered technologies for the next generation of robot workers\, assistants\, and collaborators. Mo re specifically\, I will present our research on: a) robots that are safe to people\, b) robots that are capable of operating in complex environment s\, and c) robots that are good teammates. In all\, this research will ena ble capabilities that were not previously possible\, and will impact work domains such as manufacturing\, construction\, logistics\, the home\, and health care.\n \nBio: Alessandro Roncone is Assistant Professor in the Com puter Science Department at University of Colorado Boulder. He received hi s B.Sc. summa cum laude in Biomedical Engineering in 2008\, and his M.Sc. summa cum laude in NeuroEngineering in 2011 from the University of Genoa\, Italy. In 2015 he completed his Ph.D. in Robotics\, Cognition and Interac tion Technologies from the Italian Institute of Technology [IIT]\, working on the iCub humanoid in the Robotics\, Brain and Cognitive Sciences depar tment and the iCub Facility. From 2015 to 2018\, he was Postdoctoral Assoc iate at the Social Robotics Lab in Yale University\, performing research i n Human-Robot Collaboration for advanced manufacturing. He joined as facul ty at CU Boulder in August 2018\, where he is director of the Human Intera ction and Robotics Group (HIRO\, https://hiro-group.ronc.one/ ) and co-dir ector of the Interdisciplinary Research Theme in Engineering Education Res earch and AI-augmented Learning (EER-AIL IRT\, https://www.colorado.edu/i rt/engineering-education-ai/ ).\n DTSTART;TZID=America/New_York:20221109T120000 DTEND;TZID=America/New_York:20221109T130000 LOCATION:Hackerman B17 SEQUENCE:0 SUMMARY:LCSR Seminar: Alessandro Roncone “Robots working with and around pe ople” URL:https://lcsr.jhu.edu/events/alessandro-roncone/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n
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Abstract: Robots have begun to transition from as sembly lines\, where they are physically separated from humans\, to human- populated environments and human-enhancing applications\, where interactio n with people is inevitable. With this shift\, research in human-robot int eraction (HRI) has grown to allow robots to work with and around humans on complex tasks\, augment and enhance people\, and provide the best support to them. In this talk\, I will provide an overview of the work performed in the HIRO Group and our efforts toward intuitive\, human-centered techno logies for the next generation of robot workers\, assistants\, and collabo rators. More specifically\, I will present our research on: a) robots that are safe to people\, b) robots that are capable of operating in complex e nvironments\, and c) robots that are good teammates. In all\, this researc h will enable capabilities that were not previously possible\, and will im pact work domains such as manufacturing\, construction\, logistics\, the h ome\, and health care.
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Bio: Alessandro Roncone is Assistant Professor in the Computer Science Department at Unive rsity of Colorado Boulder. He received his B.Sc. summa cum laude in Biomedical Engineering in 2008\, and his M.Sc. summa cum laude in NeuroEngineering in 2011 from the University of Genoa\, Italy. In 2015 he completed his Ph.D. in Robotics\, Cognition and Interaction Technologi es from the Italian Institute of Technology [IIT]\, working on th e iCub humanoid in the Robotics\, Brain and Cognitive Sciences department and the iCub Facility. From 2015 to 2018\, he was Postdoctoral Associate a t the Social Robotics Lab in Yale University\, performing research in Huma n-Robot Collaboration for advanced manufacturing. He joined as faculty at CU Boulder in August 2018\, where he is director of the Human Interaction and Robotics Group (HIRO\, https: //hiro-group.ronc.one/ ) and co-director of the Interdisciplinary Rese arch Theme in Engineering Education Research and AI-augmented Learning (EE R-AIL IRT\, https://www.colorado.edu/irt/engineering-education-ai/ ).
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