TITLE: Controlling Heterogeneous Semi-autonomous Rescue Robot Teams
PRESENTER: Dr M Waleed Kadous, http://waleed.web.cse.unsw.edu.au, email@example.com
AFFILIATION:Centre for Autonomous Systems, School of Computer Science and Engineering, University of New South Wales, http://www.cse.unsw.edu.au/
DATE: Friday 1st September 2006
PLACE: CSE Seminar Room, Level 1, K17
Robot-assisted Urban Search and Rescue (USAR) operations benefit from
having multiple robots search an area, especially if doing so does not
require additional operators. However, designing a user interface that
facilitates a single operator controlling many robots is challenging.
In particular, the problems of situation awareness and cognitive load are
amplified. This is especially the case when the robots concerned have a
large number of degrees of freedom. We present a preliminary design and
implementation of a user interface for a team of heterogeneous, potentially
autonomous USAR robots with many degrees of freedom for both sequential
and parallel operation. It extends our earlier design for a successfully
deployed single-robot interface. Our design is inspired by Real-Time
Strategy computer games, which must address many similar issues.
The design seeks to maximise situational awareness and reduce cognitive
load while allowing the operator to monitor and, if necessary, control all
of the robots. Our user interface was deployed during the 2006 RoboCup
Rescue Robot League where it played an important role in achieving
the highest single-run scores in the preliminary rounds of the competition.
BIOGRAPHY OF SPEAKER:
Dr Mohammed Waleed Kadous graduated from the University of New South Wales
with a Bachelor of Computer Engineering and the University Medal in 1995.
He completed his PhD on applying machine learning to multivariate time
series in 2002, which examined how to recognise time series such as
ECGs and Australian sign language (AUSLAN). He was a postdoctoral fellow
with the Smart Internet CRC from 2002 to 2004, where he worked on
intelligent middleware solutions for pervasive computing and conversational
agents and was awarded two patents; and is currently a postdoctoral fellow
with the ARC Centre of Excellence for Autonomous Systems. His current
research interests include: broadening the applicability of machine
learning techniques, human-robot interaction, and rescue robotics.
Seminar information is also available at http://www.cse.unsw.edu.au/db/ai/seminars/list/index.html
Van Hai Ho