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LCSR Seminar: LCSR Faculty “Panel on commercialization of robotics research”

Link for Live Seminar
Link for Recorded seminars – 2021/2022 school year
 
 
Abstract:
In this seminar, we will have a panel of three LCSR faculty, Dr. Peter Kazanzides, Dr. Marin Kobilarov, and Dr. Axel Krieger discussing their experience in commercializing robotic research through licensing and start-up. The panel will include questions and answer sessions with the audience.
 

LCSR Seminar: Maya Cakmak

Link for Live Seminar
Link for Recorded seminars – 2021/2022 school year
 
 
Abstract:
TBA
 
Biography:
TBA

LCSR Seminar: Kel Guerin “Building an End-User Focused Operating System for Robotics”

Link for Live Seminar
Link for Recorded seminars – 2021/2022 school year
 
Abstract:

LCSR Seminar: LCSR Faculty “Interviewing for Jobs in Academia and Industry”

Link for Live Seminar
Link for Recorded seminars – 2021/2022 school year
 
LCSR Faculty “Interviewing for Jobs in Academia and Industry”
 
Speakers: Louis Whitcomb, Marin Kobilarov, and the LCSR Faculty
Abstract:
This LCSR professional development seminar will review the process of interviewing for jobs in academia (e.g. faculty, post-doc, and scientist positions) and industry (e.g. engineering, scientist, and management positions), and will provide tips and best-practices for successful interviewing.
 

LCSR Seminar: Pablo Arbelaez “Towards Robust Artificial Intelligence”

Link for Live Seminar
Link for Recorded seminars – 2021/2022 school year
 
 
Abstract:
I will discuss recent efforts at CinfonIA in enhancing interpretability in deep neural networks through the use of adversarial robustness and multimodal information.
 
Biography:

LCSR Seminar: Danail Stoyanov “Towards Understanding Surgical Scenes Using Computer Vision”

Link for Live Seminar
Link for Recorded seminars – 2021/2022 school year
 
 
Abstract:

LCSR Seminar: Daniela Rus “Learning Risk and Social Behavior in Mixed Human-Autonomous Vehicles Systems”

Link for Live Seminar
Link for Recorded seminars – 2021/2022 school year
 
Abstract:

LCSR Seminar: Angie Liu “Towards Trustworthy AI: Distributionally Robust Learning under Data Shift”

Link for Live Seminar
Link for Recorded seminars – 2021/2022 school year
 
Abstract:

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