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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20220502T122639
DTSTART;TZID=America/Detroit:20210723T080000
DTEND;TZID=America/Detroit:20210723T230000
SUMMARY:Careers / Jobs:UROP First-Year Application Open
DESCRIPTION:Our \"Traditional UROP Program\" has been our flagship program running over 30 years. This Academic Year program\, in which students participate for both Fall and Winter Terms\, is designed for University of Michigan first and second year undergraduate students enrolled on the Ann Arbor campus who are seeking a first time research experience. Student research assistants work alongside a faculty member\, research scientist or professional practitioner on an ongoing or new research project.\n\nLearn more and apply at: myumi.ch/uropyearone\n\nApplications being accepted on a rolling basis.
UID:83923-21617099@events.umich.edu
URL:https://events.umich.edu/event/83923
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Urop,Undergraduate Students,Undergraduate,Research,Networking,Interdisciplinary,Free,AEM Featured,Applications,first-generation
LOCATION:Undergraduate Science Building
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20210804T182828
DTSTART;TZID=America/Detroit:20210723T080000
DTEND;TZID=America/Detroit:20210723T230000
SUMMARY:Careers / Jobs:UROP Research Scholars Application now open
DESCRIPTION:The UROP Research Scholars Program is designed for students who want to expand on their first year UROP experience and participate in UROP for a second year at an advanced level. In this program\, students build upon the knowledge gained in a first undergraduate research experience to further explore the connections between research\, a liberal arts education\, and communicating skills to advance their future professional goals. Students are expected to explore various written and oral possibilities for communicating their research process\, identifying the limits set by the discipline and the opportunities that lie beyond.\n\nApply at: https://myumi.ch/uroprs
UID:82067-21014998@events.umich.edu
URL:https://events.umich.edu/event/82067
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applications,Urop,Undergraduate Students,Undergraduate,Research,Interdisciplinary,Free,AEM Featured
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20210713T080921
DTSTART;TZID=America/Detroit:20210723T093000
DTEND;TZID=America/Detroit:20210723T113000
SUMMARY:Lecture / Discussion:Improving Collaboration Between Drivers and Automated Vehicles with Trust Processing Methods
DESCRIPTION:Trust has gained attention in the Human-Robot Interaction (HRI) field\, as it is considered an antecedent of people's reliance on machines.\nPeople rely on and use machines they trust and refrain from using machines they do not trust. The advances in robotic perception technologies open paths for the development of machines that can be aware of people's trust by observing humans' behaviors and identifying whether they are being trusted or not by those people. This dissertation explores the role and the intricacies of trust in the interactions of humans and robots\, particularly Automated Vehicles (AVs).\nNovel methods and models are proposed for perceiving and processing drivers' trust in AVs and for determining humans' natural trust or robots' artificial trust. Two high-level problems are addressed: the problem of avoiding or reducing miscalibrations of drivers' trust in AVs and the problem of how to use trust to dynamically allocate tasks between a human and a robot that collaborate.\n\nA complete solution is proposed for the problem of avoiding or reducing trust miscalibrations\, which combines methods for estimating and influencing drivers' trust through interactions with the AV. Three main contributions stem from that solution: the characterization of risk factors that affect drivers’ trust in AVs\; the development of a new method for real-time trust estimation\; and the development of a new method for trust calibration.\n\nAlthough the development of a complete trust-based solution for the problem of dynamically allocating tasks between a human and a robot remains an open problem\, this dissertation takes a step forward in that direction. The fourth contribution here proposed is the development of a unified bi-directional model for predicting natural and artificial trust. This trust model allows for the numerical computation of human's trust and robot's trust\, which is represented by the probability of a given agent to successfully execute a given task. As a probability of success\, trust can readily be used for the computation of expected rewards and costs for tasks to be executed by each possible agent and can guide decision-making algorithms based on the optimization of those rewards and costs.
UID:84449-21624011@events.umich.edu
URL:https://events.umich.edu/event/84449
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Dissertation,Engineering,Graduate,Michigan Robotics,Robotics
LOCATION:Off Campus Location
CONTACT:
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