20200710
 

Time: 02:00pm 

Venue: Online

Speaker: Hanna Kurniawati, Australian National University

 

Zoom meeting link:
https://hku.zoom.us/j/94650715947
Meeting ID: 946 5071 5947

Title: Robust Decision Making in a Partially Observable World
 
Speaker: Hanna Kurniawati, Australian National University
 
 
Date: July 10, 2020 (Friday)
Time: 2:00 pm (HK Time) (GMT+8)
 
Abstract:
 
Robust robot operation must answer: What to do now, to receive good long-term returns, despite notRobust robot operation must answer: What to do now, to receive good long-term returns, despite notknowing the exact effect of its actions, despite various errors in sensors and sensing, and despitelimited information about the environment and itself. This problem is not new. Mathematically principledconcepts --called Partially Observable Markov Decision Processes (POMDPs)-- have been developedmore than five decades ago to address the problem mentioned above. However, such concepts arenotorious for their computational complexity, that they have often been considered impractical. I willpresent some of our effort in addressing the computational complexity issues of solving POMDPs, anddemonstrate that this decision making concept has now become practical (to some extent) for solvingvarious problems in robotics. I will end with a discussion on what this technology could mean inbridging the gap between sensing and acting in robotics, and between planning and learning ingeneral.
 
About the speaker:
 
Hanna Kurniawati is a Senior Lecturer with ANU and CS Futures Fellowship at the Research School ofHanna Kurniawati is a Senior Lecturer with ANU and CS Futures Fellowship at the Research School ofComputer Science, Australian National University (ANU). Prior to ANU, she was an academic at theUniversity of Queensland and a Research Scientist at the Singapore-MIT Alliance for Research andTechnology. She earned a PhD in Computer Science from National University of Singapore for work onrobot motion planning. Her current research focuses on the design and development of algorithms thatenable mathematically principled concepts for robust decision making to become practical tools inrobotics. Along with colleagues and students, she won a best paper award at ICAPS’15 and was afinalist of the best paper award at ICRA’15. She was also a keynote speaker at IROS’18.
 
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