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Events for February 28, 2022
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PhD Defense - Shao-Hua Sun
Mon, Feb 28, 2022 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Shao-Hua Sun
Time: 2/28 (Mon) 3:30pm PST
Venue: Online (zoom link: https://usc.zoom.us/j/2133002395)
Committee members: Prof. Joseph J. Lim (Chair), Prof. Gaurav Sukhatme, Prof. Stefanos Nikolaidis, Prof. Quan Nguyen (AME dept)
Title: Program-Guided Framework for Interpreting and Acquiring Complex Skills with Learning Robots
Abstract: Recent development in artificial intelligence and machine learning has remarkably advanced machines' ability to understand images and videos, comprehend natural languages and speech, and outperform human experts in complex games. However, building intelligent robots that can physically interact with their surroundings as well as learn to operate in unstructured environments, manipulate unknown objects, and acquire novel skills - to free humans from tedious or dangerous manual work- remains challenging. The focus of my research is to develop a robot learning framework that enables robots to acquire long-horizon and complex skills with hierarchical structures, such as furniture assembly and cooking. Specifically, I aim to devise a robot learning framework which is: (1) interpretable: by decoupling interpreting skill specifications (e.g. demonstrations, reward functions) and executing skills, (2) programmatic: by generalizing from simple instances to complex instances without additional learning, (3) hierarchical: by operating on a proper level of abstraction that enables human users to interpret high-level plans of robots allows for composing primitive skills to solve long-horizon tasks, and (4) modular: by being equipped with modules specialized in different functions (e.g. perception, action) which collaborate, allowing for better generalization. This dissertation discusses a series of research projects toward building such an interpretable, programmatic, hierarchical, and modular robot learning framework.
WebCast Link: https://usc.zoom.us/j/2133002395
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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Rubber Ducky Debugging
Mon, Feb 28, 2022 @ 07:00 PM - 08:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
What's rubber duck debugging? Good question! Rubber duck debugging is a method to find bugs in your code where you explain your code aloud - to someone else, or to a rubber duck. Sometimes, talking through your code in words can help you find your mistakes.
Come learn a little more about rubber duck debugging with ACM! We will have a short presentation to give you a quick overview. Then, this event will be a crafty one where you can decorate your very own rubber duck to take home and debug with. We will have colorful ducks and a variety of paint, fabric, and glitter!
This is a great opportunity for you to hang out with other ACM members at one of the first in-person events of the semester!
RSVP: https://docs.google.com/forms/d/e/1FAIpQLSe-tjqWcyoVgHVtwd2TIs4u9-qZBCq8-c8utGVjRS9utZ0kxA/viewform?usp=sf_linkLocation: John Stauffer Science Lecture Hall (SLH) - 100
Audiences: Everyone Is Invited
Contact: ACM
