Hi all,
We will have this seminar as planned at 1pm in Graf 300 and on zoom! I encourage you to attend in person if you can safely reach campus.
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Geoffrey A. Hollinger
Associate Professor, Robotics & Mechanical Engineering
College of Engineering
Oregon State University
From:
Robotics <robotics-bounces@engr.oregonstate.edu> on behalf of Hollinger, Geoffrey <Geoff.Hollinger@oregonstate.edu>
Date: Wednesday, January 17, 2024 at 8:05 AM
To: OSU Robotics Mailing List <robotics@engr.oregonstate.edu>, robotics-seminar@engr.oregonstate.edu <robotics-seminar@engr.oregonstate.edu>
Subject: Re: [Robotics] [Robotics-seminar] Nils Wilde seminar delayed (again) to Thursday Jan 18 1pm-2pm Graf 300 (student meeting afterwards)
Hi all,
Unfortunately, we will need to delay Nils Wilde’s seminar another day to Thursday Jan 18 1-2pm (note NOW IN GRAF 300): the updated information is below:
Dr. Nils Wilde will
be presenting his work on Preference Learning and Multi-Objective Planning for Autonomous Systems on Wednesday (Jan 18th) at 1:00 - 2:00 pm in Graf 300 and via Zoom. Afterward, from 2:15-3:00 pm, there will be a student-postdoc Q&A session with Dr. Wilde in
Rogers 226 (note updated location of Graf 300 for both meetings). See below for Dr. Wilde's abstract and bio.
Hope that you can make it!
Geoff
--
Geoffrey A. Hollinger
Associate Professor, Robotics & Mechanical Engineering
College of Engineering
Oregon State University
From:
Robotics <robotics-bounces@engr.oregonstate.edu> on behalf of Hollinger, Geoffrey <Geoff.Hollinger@oregonstate.edu>
Date: Monday, January 15, 2024 at 2:32 PM
To: OSU Robotics Mailing List <robotics@engr.oregonstate.edu>, robotics-seminar@engr.oregonstate.edu <robotics-seminar@engr.oregonstate.edu>
Subject: [Robotics] Nils Wilde seminar delayed to Wednesday Jan 17 1pm-2pm Rogers 226 (student meeting afterwards)
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Oregon State University, College of Engineering
Collaborative
Robotics and Intelligent Systems (CoRIS) Institute
Research Associate Candidate Seminar
Date: Thursday, January 18, 2024
Time: 1 pm Pacific Time
In-person location: Graf 300
Zoom link: https://oregonstate.zoom.us/j/95307742594?pwd=cWdmUS91dU9VeDQ0SnVZMWJMcFhtZz09
Seminar Title: Preference
Learning and Multi-Objective Planning for Autonomous Systems
Speaker: Dr. Nils Wilde, https://sites.google.com/view/nwilde/home
Seminar information provided by the speaker:
Abstract:
The deployment of autonomous robots in real-world settings often requires planning and decision making under multiple competing objectives. Which trade-off between
objectives is the most adequate often depends on the respective end-user. Thus, a central problem is how inexperienced users can adapt autonomous systems to their preferences. In this talk we focus on two parts of the problem. First, we study human-in-the-loop
learning frameworks that allow users to customize robot behaviour to their preferences through a sequence of simple interactions. One such interaction mode is choice feedback where users choose between two presented options, allowing for effectively learning
user preference within few iterations. In the second part, we study the challenge of exploring optimal trade-offs for multi-objective robot planning problems. We establish fundamental theoretical properties that allow for efficient algorithm design. Applications
of the presented work include high-level motion planning in human-centered environments, manipulation in servicing tasks, environmental monitoring, vehicle routing, and multi-robot pickup and delivery.
Speaker Bio:
Nils Wilde is
currently a postdoctoral fellow in the Autonomous Multi-Robots Lab at TU Delft, working with Javier Alonso-Mora. Until 2021 he was a postdoctoral fellow at the Autonomous Systems Lab at the University of Waterloo where he also did his PhD in Electrical and
Computer Engineering under the co-supervision of Dana Kulić and Stephen L. Smith from 2016 to 2020. Before that he completed his BSc. and MSc. degrees at the Technical University Berlin in 2012 and 2016, respectively. Nils'
research combines robot motion planning, multi-robot coordination, and human-robot interaction (HRI), developing algorithmic frameworks on the intersection of control, learning and optimization.
--
Geoffrey A. Hollinger
Associate Professor, Robotics & Mechanical Engineering
College of Engineering
Oregon State University