Cambridge University cooperates with Evolution
Robotics Software for research in vision technology
14 February 2005
Pasadena, California, USA. Evolution Robotics, a leading provider of
next-generation robotic solutions and the Department of Engineering at the
world-renowned University of Cambridge have announced that Evolution
Robotics' visual pattern recognition and autonomous navigation technologies
will be utilized by Cambridge's Machine Intelligence Laboratory to initiate
new projects involving the ERSP development kit.
The Machine Intelligence Laboratory's robotics research focuses on the
areas of 3D object shape recovery, object and person-recognition, video
surveillance, image-based localization, and human-machine interaction. The
department's overarching goal is to develop intelligent robotic applications
that "see and learn" to eventually be used in a variety of devices. For that
purpose, automatic identification and archiving of visual landmarks as well
as the ability to decide on recording or deletion are a crucial factor in
the research being conducted. In the past, these were obstacles that limited
significant advancement in Cambridge's robotics research.
"With ERSP and its integrated visual pattern recognition technology,
ViPR, Evolution Robotics has opened new doors in the development of
intelligent machines and devices. In particular, the reliability of the
object recognition and the standardized usage for the ERSP development
platform within various project environments has truly impressed us", said
Roberto Cipolla, professor of Information Engineering and scientific project
manager in the Computer Vision & Robotics Department of the Machine
Intelligence Laboratory.
Developed by a team of leading robotics experts and engineers at
Evolution Robotics, ERSP enables universities and companies to accelerate
their robotics research as well as create viable and competitive commercial
products easily and cost-effectively. With its proven and tested technology
already used in multiple vertical markets, ERSP is the basis for
professional developers to create innovative robotics applications for a
variety of different products. The integrated visual pattern recognition
module, ViPR, is a reliable and robust solution for object recognition,
giving electronic devices the ability to recognize complex visual patterns.
ERSP is currently being used by more than one hundred major academic and
corporate entities and its navigation and vision technologies are deployed
in more than one hundred thousand entertainment and consumer robots around
the globe.
"We are excited that Cambridge's Machine Intelligence Laboratory, headed
by Prof. Cipolla, has chosen to collaborate with ER and to use ERSP as a
platform for their numerous mobile robotics projects. Our visual pattern
recognition technology is a powerful solution to solving real world problems
and is currently being used in products for retail loss prevention, Sony
AIBO for entertainment, and security applications for detection of arms and
threats," said Paolo Pirjanian, Chief Scientist and General Manager of the
Robotics & Vision Business Unit at Evolution Robotics. "Prof. Cipolla's
research will extend the capabilities of ERSP for improved vision and
navigation. We are committed to working with such distinguished researchers
as Prof. Cipolla to continue to expand ERSP and its capabilities for our
user community."
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