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-12289@lcsr.jhu.edu DTSTAMP:20240328T103958Z CATEGORIES: CONTACT:Ashley Moriarty\; amoriar2@jhu.edu\; https://wse.zoom.us/s/94623801 186 DESCRIPTION:Link for Live Seminar\nLink for Recorded seminars – 2021/2022 s chool year\n \n \nAbstract:\nRobots currently have the capacity to help pe ople in several fields\, including health care\, assisted living\, and man ufacturing\, where the robots must share physical space and actively inter act with people in teams. The performance of these teams depends upon how fluently all team members can jointly perform their tasks. To be successfu l within a group\, a robot requires the ability to perceive other members’ actions\, model interaction dynamics\, predict future actions\, and adapt their plans accordingly in real-time. In the Collaborative Robotics Lab ( CRL)\, we develop novel perception\, prediction\, and planning algorithms for robots to fluently coordinate and collaborate with people in complex h uman environments. In this talk\, I will highlight various challenges of d eploying robots in real-world settings and present our recent work to tack le several of these challenges.\n \nBiography:\nTariq Iqbal is an Assistan t Professor of Systems Engineering and Computer Science (by courtesy) at t he University of Virginia (UVA). Prior to joining UVA\, he was a Postdocto ral Associate in the Computer Science and Artificial Intelligence Lab (CSA IL) at MIT. He received his Ph.D. in CS from the University of California San Diego (UCSD). Iqbal leads the Collaborative Robotics Lab (CRL)\, which focuses on building robotic systems that work alongside people in complex human environments\, such as factories\, hospitals\, and educational sett ings. His research group develops artificial intelligence\, computer visio n\, and machine learning algorithms to enable robots to solve problems in these domains. DTSTART;TZID=America/New_York:20210915T120000 DTEND;TZID=America/New_York:20210915T130000 LOCATION:https://wse.zoom.us/s/94623801186 SEQUENCE:0 SUMMARY:LCSR Seminar: Tariq Iqbal “Toward Fluent Collaboration in Human-Rob ot Teams” URL:https://lcsr.jhu.edu/events/tariq-iqbal/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n
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Abstract:
\nRobots currently have the capacity to help people in several fie lds\, including health care\, assisted living\, and manufacturing\, where the robots must share physical space and actively interact with people in teams. The performance of these teams depends upon how fluently all team m embers can jointly perform their tasks. To be successful within a group\, a robot requires the ability to perceive other members’ actions\, model in teraction dynamics\, predict future actions\, and adapt their plans accord ingly in real-time. In the Collaborative Robotics Lab (CRL)\, we develop n ovel perception\, prediction\, and planning algorithms for robots to fluen tly coordinate and collaborate with people in complex human environments. In this talk\, I will highlight various challenges of deploying robots in real-world settings and present our recent work to tackle several of these challenges.
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Biography:
\nTariq I qbal is an Assistant Professor of Systems Engineering and Computer Science (by courtesy) at the University of Virginia (UVA). Prior to joining UVA\, he was a Postdoctoral Associate in the Computer Science and Artificial In telligence Lab (CSAIL) at MIT. He received his Ph.D. in CS from the Univer sity of California San Diego (UCSD). Iqbal leads the Collaborative Robotic s Lab (CRL)\, which focuses on building robotic systems that work alongsid e people in complex human environments\, such as factories\, hospitals\, a nd educational settings. His research group develops artificial intelligen ce\, computer vision\, and machine learning algorithms to enable robots to solve problems in these domains.
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