This article is from the Robotics FAQ, by Kevin Dowling nivek@cs.cmu.edu with numerous contributions by others.
Waltham, MA
Brandeis has a program in autonomous agents, focusing on multi--agent
and multi--robot systems and machine learning, headed by Maja Mataric
For details on research directions and a photo of the available robot
herd see: http://www.cs.brandeis.edu/dept/faculty/mataric
For graduate admission information see:
http://www.cs.brandeis.edu/dept/grad-info/application.html
To get more information about the Volen Center for Complex Systems,
about the Computer Science Department, and about other faculty, see:
http://www.cs.brandeis.edu/dept. For more information about the
cognitive science and cognitive neuroscience programs at Brandeis see:
http://fechner.ccs.brandeis.edu/cogsci.html
6.1 Graduate Programs in Robotics part6 United States: California
Institute of Technology
Pasadena, CA
Joel Burdick
serpentine manipulation, control
Richard Murray
control of nonholonomic systems, grasping
Pietro Perona
biological and machine vision
For more detailed information on robotics research at Caltech see
[76]http://robby.caltech.edu/
6.1 Graduate Programs in Robotics part6 United States: Carnegie
Mellon University (CMU)
Graduate program contact:
Graduate Admissions Coordinator
The Robotics Institute
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
[77]The Robotics Institute is the world's largest academic
organization devoted to robotics. The Robotics Institute (RI) has over
45 full-time faculty, over 100 technical staff, 150 graduate students
(90 in the RI program) and 25 visitors and post-docs. The Robotics
Institute is part of CMU's [78]School of Computer Science
The Robotics Institute also offers a [79]Robotics PhD and students
from other programs (e.g. engineering and computer science) also do
research in the Institute. Institute development spans the spectrum
from fundamental and basic research to development and integration of
complete systems for specific applications. Research includes many
aspects of mobile robots, computer integrated manufacturing, rapid
prototyping, sensors, vision, navigation, learning and architectures.
The RI PhD program is comprised of a set of qualifiers and a program
of research leading to a thesis and the degree.
The many centers and laboratories include the [80]National Robotics
Engineering Consortium (NREC), a facility and organization devoted to
technology transfer between laboratory and companies.
Facilities include about a dozen mobile systems with more under design
and construction. Facilities include over 2000m^2 of offices and over
15,000 m^2 of laboratory and highbay space. Facilities available
include many mobile robots, manipulator systems and lots of computer
cycles/person.
"People"
Takeo Kanade
Vision and Autonomous Systems Center
Pradeep Khosla
Advanced Manipulator Laboartory
Matt Mason
Manipulation Laboratory
Tom Mitchell
Learning Robots Lab
Hans Moravec
Mobile Robots Lab
Mel Seigel
Sensors Laboratory (non vision)
Red Whittaker
Field Robotics Center
and many others.....
6.1 Graduate Programs in Robotics part6 United States: Case Western
Reserve University
Department of Electrical Engineering and Applied Physics
Glennan Building
10900 Euclid Avenue
Cleveland, Ohio 44106
Phone (216)368-4088
Fax (216)368-2668
See [81]file://alpha.ces.cwru.edu/pub/agents/home.html
Electrical engineering at CWRU is a broad, dynamic field offering a
great diversity of career opportunities in areas such as microwave and
rf communications, microprocessor-based digital control systems,
robotics, solid state microelectronics, signal processing, and
intelligent systems. The Department of Electrical Engineering and
Applied Physics offers Bachelor of Science in Engineering, Master of
Science in Electrical Engineering, Master of Engineering, and Doctor
of Philosophy degree programs which provide preparation for work in
these areas. The department offers a minor in electrical engineering
for bachelor's degree students in other engineering disciplines as
well as a minor in electronics for bachelor's degree students enrolled
in the College of Arts and Science.
6.1 Graduate Programs in Robotics part6 United States: Colorado
School of Mines
"Mobile Robotics/Machine Perception Laboratory"
"Department of Mathematical and Computer Sciences"
The Colorado School of Mines is a state university, internationally
renowned in the energy, materials, and resource fields, attracting
outstanding students in a broad range of science and engineering
disciplines. The School of Mines is strongly committed to quality
teaching and research. CSM provides an attractive campus environment,
a collegial atmosphere, relatively small size (3000 students, about
30% in graduate programs), and an ideal location in the foothills of
the Rocky Mountains 13 miles from downtown Denver and an hour from
most ski areas.
The Dept. of Mathematical and Computer Sciences offers BS, MS, and PhD
degrees under the department title. With a faculty of 18 tenured and
tenure track members, the department annually receives roughly a
million dollars in grants; 116 undergraduate students and 70 graduate
students are currently enrolled in ou r degree programs. The computer
science group within the department has a strong focus in AI (symbolic
and neural nets) and database and parallel processing syst ems. The
Mobile Robotics/Machine Perception Laboratory is a facility devoted to
basic and interdisciplinary research, technology transfer, and
hands-on education in artificial intelligence through robotics.
Research and technology transfer efforts concentrate on the reduction
of human risk in hazardous situations, stewardship of the environment,
and/or improvement of the quality of life throug h better
manufacturing processes. Research in the MR/MP laboratory is supported
by NSF, ARPA, NASA, and local industries.
For more information, please send email to Dr. Robin R. Murphy,
rmurphy@mines.colorado.edu. Include a brief summary of your
educational (with GPA) and work experience, what your research
interests are, and GRE scores.
6.1 Graduate Programs in Robotics part6 United States: Clemson
University (CU)
Graduate program contact:
Robotics and Mechatronics (RAM) Laboratory
Center for Advanced Manufacturing
Clemson University
Clemson SC 29634
Lab Phone: 864-656-6988
Fax: 864-656-7220
For more information browse our web site at
[82]http://crb.eng.clemson.edu or contact:
Dr. Darren Dawson (ECE) [83]ddawson@eng.clemson.edu
Tel: (864) 656-5924
Fax: (864) 656-7220
[84]http://crb.eng.clemson. edu/advisor/dawson.htm
Dr. Chris Rahn (ME) [85]cdrahn@eng.clemson.edu
Tel: (864) 656-5261
Fax: (864) 656-4435
[86]http://www.eng.clemson .edu/~cdrahn/resume.html
Summary of Laboratory Activities
* Research and Development
* Education
* Technology Transfer
* Classroom/Laboratory Workshops
* Faculty/Student Summer Interns
Electrical and Computer Engineering RAM Personnel
* Darren Dawson, Professor
* John Luh, McQueen Quattlebaum Professor
Mechanical Engineering RAM Personnel
* Chris Rahn, Assistant Professor
* Frank Paul, McQueen Quattlebaum Professor
Approximately 25 Ph.D and Masters Thesis Students from both ECE and ME
departments.
RAM Research Facilities
* Robotics Lab: Seven Robot Stations Including a Dual Robot Arm
Workcell and two Direct Drive Robot Manipulators
* Computational Lab: Cluster of Personal Computers and Workstations
* Union Camp Lab: Motor Drive Equipment, a Magnetic Bearing, and
Real Time Workstations
* Environmental Restoration Lab: Virtual Reality Based Equipment and
Software
* Rapid Isothermal Processing Lab: Three Chemical Vapor Deposition
Testbeds
* Square D Lab: Three Vibration Control Testbeds
RAM Research Thrust Areas
* Advanced Computer-Based Software Interfaces and Position/force
Control Systems for Robot Manipulator Systems
* Dynamic Modeling Techniques and Tension Controllers for High Speed
Transport of Fibers and Webs
* High Precision Position Controllers for Electric Motors and
Magnetic Bearings
* Control Algorithms for Payload Swing Reduction for Overhead Cranes
* Vibration Control Techniques for Flexible Beams and Cables
* Closed-Loop Modeling, Control, Measurement, Techniques for
Semiconductor Manufacturing (Chemical Vapor Deposition)
 
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