BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Northeastern University College of Engineering - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Northeastern University College of Engineering
X-ORIGINAL-URL:https://coe.northeastern.edu
X-WR-CALDESC:Events for Northeastern University College of 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:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240730T133000
DTEND;TZID=America/New_York:20240730T143000
DTSTAMP:20260515T100816
CREATED:20240820T181611Z
LAST-MODIFIED:20240820T181611Z
UID:45105-1722346200-1722349800@coe.northeastern.edu
SUMMARY:Kyle Lockwood PhD Dissertation Defense
DESCRIPTION:Name:\nKyle Lockwood \nTitle:\nLeveraging Submovements for Prediction and Trajectory Planning in  Human-Robot Handover \nDate:\n7/30/2024 \nTime:\n1:30:00 PM \nLocation:\nISEC 532 – \nCommittee Members:\nProf. Deniz Erdogmus (Advisor)\nProf. Eugene Tunik (Co-Advisor)\nProf. Mathew Yarossi\nProf. Tales Imbiriba \nAbstract:\nCollaborative physical interactions between humans and robots pose difficult modeling challenges. To create natural interactions\, engineers must consider human inference of intent\, anticipation of action\, and coordination of movement. Humans can handle these challenges effortlessly when interacting with one another\, but they are very difficult to overcome in robot implementations. Although human-human handover is a seemingly simple task\, it requires a complex perception-action coupling to determine when and where the handover will happen\, as well as choosing an appropriate trajectory to receive the object. Critically\, modeling human-robot handover requires incorporating knowledge about human inference and trajectory planning to obtain seamless interactions. Despite recent advancements in sensing and control\, human-robot handovers are far from approaching the fluidity and flexibility of human-human collaboration. Existing predictive models applied to human-robot handover often utilize classification methods and other approaches that suffer in accuracy when encountering noisy human trajectories that are not captured during their training. To address these challenges\, this work presents two models that act as robotic surrogates for human inference and trajectory planning in a handover task. This approach delivers promising results while remaining grounded in a physiologically meaningful feature of human motion: Gaussian-shaped submovements in velocity profiles. This thesis analyzes human-human handover kinematics to establish a baseline for model evaluation and investigate the influence of handover role\, it presents models for human inference and trajectory planning\, and it applies the inference model in human-robot handover experiments. \n 
URL:https://coe.northeastern.edu/event/kyle-lockwood-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240730T160000
DTEND;TZID=America/New_York:20240730T170000
DTSTAMP:20260515T100816
CREATED:20240517T125640Z
LAST-MODIFIED:20240603T184607Z
UID:44083-1722355200-1722358800@coe.northeastern.edu
SUMMARY:LeetCode Mock Interviews – CommLab Drop-In Workshops
DESCRIPTION:Join the CommLab any Tuesday from 4-5 PM for our weekly LeetCode Mock Interview Workshop via Zoom. This workshop is tailored towards programming jobs and prior coding knowledge is expected. Boost your LeetCode problem-solving confidence for interviews by building your speaking skills while solving programming problems.
URL:https://coe.northeastern.edu/event/leetcode-mock-interviews-commlab-drop-in-workshops/2024-07-30/
END:VEVENT
END:VCALENDAR