

click
here for the profile in the June 14, 2004, issue of TIME (photo is
courtesy of TIME)
In Memorial: Kate Murphy Aug 4,
1987 to Jan. 23, 2005
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I am currently not funding new graduate students who have not had my Introduction to Robotics course or are seeking only a MS degree. If you are a Ph.D. student seeking funding, please apply for a TA position through the department.
I am on a journey of the soul
one that searches the very
boundaries of my mind
in a land of believe and make
where those who care pay a toll
--Regis McKenna
Robin Roberson Murphy received a B.M.E. in mechanical engineering, a M.S. and
Ph.D in computer science (minor: Computer Integrated Manufacturing Systems) in
1980, 1989, and 1992, respectively, from Georgia Tech, where she was a Rockwell
International Doctoral Fellow. She is a Professor in the Computer Science and
Engineering Department at the University of South Florida with a joint
appointment in Cognitive and Neural Sciences in the Department of Psychology.
From 1992 to 1998, she was an assistant professor in the Department of
Mathematical and Computer Sciences at the Colorado School of Mines. Prof.
Murphy joined USF in 1998.
Dr. Murphy is a founder and international leader in both rescue robotics and human-robot interaction, and was recognized by TIME Magazine in 2004 as an innovator in artificial intelligence. Her work in rescue robotics began in 1995, investigating artificially intelligent robots and new concepts of cooperative teams such as marsupial and heterogenous teams, while also working directly with responders to establish the domain theory. She was the first to introduce ground, air, and sea robots to disaster response, participating in the World Trade Center disaster (2001), La Conchita, CA, mudslides (2005), Hurricanes Charley (2004), Katrina (2005), and Wilma (2005), and the Midas Gold Mine response (2007) and was honored with the NIUSR Eagle award. The data and papers from her field work are seminal to the rescue robotics community, have been presented to NSF twice and as keynote addresses to numerous conferences, and have been translated to Japanese. Her increasingly multi-disciplinary approach to artificial intelligence and systems began in 1999, when she began applying ethnography to rescue robots teams in order to identify hardware and software barriers. From 2001-2002, she co-chaired the DARPA/NSF study that defined human-robot interaction (HRI) and created a roadmap for the new community being formed from computer science, engineering, psychology, and cognitive science. Human-Robot Interaction was established in 2006 as one of the thrust areas in the NSF CISE directorate and Dr. Murphy serves on the NSF CISE Advisory Board. She was one of 11 researchers chosen to illustrate the value of NSF's budget to Congress and the public on Feb. 5, 2006; she is the representative for the CISE directorate. In order to facilitate the transfer of research to industry and the emergency response community, in 2003 she established in partnership with the University of Minnesota the NSF Industry University Cooperative Research Center on safety, security, and rescue technology, which she directed from 2003-6. Dr. Murphy is currently investigating the diffusion of innovation in robotics and is co-chairing a DARPA ISAT study on detecting emergent innovation in information technologies in the field.
I have written a textbook, Introduction
to AI Robotics, 2000, MIT Press, aimed at upper level undergraduates and
first year graduate students. An instructor's manual and powerpoint slides are
available upon request to MIT Press (they filter students trying to get answers
to the test...). I also recommend Behavior-Based Robotics by Ron Arkin (my PhD
advisor and the reference for most of my book) for an advanced treatment of the
same material.
The MIT Press release reads:
This text covers all the material needed to understand the principles
behind the AI approach to robotics and to program an artificially intelligent
robot for applications involving sensing, navigation, planning, and
uncertainty. Robin Murphy is extremely effective at combining theoretical and
practical rigor with a light narrative touch. In the overview, for example, she
touches upon anthropomorphic robots from classic films and science fiction
stories before delving into the nuts and bolts of organizing intelligence in
robots.
Following the overview, Murphy contrasts AI and engineering approaches
and discusses what she calls the three paradigms of AI robotics: hierarchical,
reactive, and hybrid deliberative/reactive. Later chapters explore multiagent
scenarios, navigation and path-planning for mobile robots, and the basics of
computer vision and range sensing. Each chapter includes objectives, review
questions, and exercises. Many chapters contain one or more case studies
showing how the concepts were implemented on real robots. Murphy, who is well
known for her classroom teaching, conveys the intellectual adventure of
mastering complex theoretical and technical material.