BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Electrical and Computer Engineering - ECPv6.17.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Department of Electrical and Computer Engineering
X-ORIGINAL-URL:https://engineering.jhu.edu/ece
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200903T150000
DTEND;TZID=America/New_York:20200903T150000
DTSTAMP:20210628T204259Z
CREATED:20210628T204259Z
LAST-MODIFIED:20210628T204259Z
UID:554195-1599145200-1599145200@engineering.jhu.edu
SUMMARY:Thesis Proposal: Jonathan Jones
DESCRIPTION:Note: This is a virtual presentation. Here is the link for where the presentation will be taking place.Title: Fine-grained activity recognition for assembly videosAbstract: When a collaborative robot is working with a human partner to build a piece of furniture or an industrial part\, the robot must be able to perceive which parts are connected and where\, and it must be able to reason about how these connections can change as the result of its partner’s actions. This need can also arise in industrial process monitoring and manufacturing applications\, where an automated system verifies a product as it progresses through the assembly line. These assembly processes require systems that can reason geometrically and temporally\, relating the structure of an assembly to the manipulation actions that created it.Grounded in a behavioral study of spatial cognition\, this proposal combines methods for physical and temporal reasoning to enable the analysis and automated perception of assembly actions. We develop a temporal model that relates manipulation actions to the structures they produce and describe its use in enabling fine-grained behavioral analyses. Then\, we apply our sequence model to recognize assembly actions in a variety of assembly scenarios. Finally\, we describe a method for part-based reasoning that makes our approach robust to occluded and previously unseen assemblies.Committee MembersSanjeev Khudanpur\, Department of Electrical and Computer EngineeringGreg Hager\, Department of Computer ScienceVishal Patel\, Department of Electrical and Computer Engineering
URL:https://engineering.jhu.edu/ece/event/thesis-proposal-jonathan-jones/
END:VEVENT
END:VCALENDAR