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Robot Perception and Learning Lab
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Robot Perception and Learning
- Object, Activity and Interaction Recognition
- Interacting Object Tracking
- Hand Posture Recognition
- 3-D Face Modeling and Recognition
- GPS-based Activity Recognition
- Human-Robot Interaction
- Machine Perception and Learning of Complex Social Networks
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Robotic Systems
- Mobile Robotic Platform Development
- The Projector-Camera Systems
- Microphone and Camera Array
- Robotic Devices for Rehabilitation
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Simultaneous Localization, Mapping and Moving Object
Tracking
Localization, mapping and moving object tracking serve as
the basis for scene understanding, which is a key prerequisite for making a
robot truly autonomous. Simultaneous localization, mapping and moving object
tracking (SLAMMOT) involves not only simultaneous localization and mapping
(SLAM) in dynamic environments but also detecting and tracking these dynamic
objects. It is believed by many that a solution to the SLAM problem would
open up a vast range of potential applications for autonomous robots.
Accordingly, a solution to the SLAMMOT problem would expand robotic
applications in proximity to human beings where robots work not only for
people but also with people. Current sub-project:
- Unification of SLAM and Multi-Target Tracking
- Visual SLAMMOT
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Research Groups
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The "high performance computing" group focuses on the design and analysis
of algorithms. The research topics include parallel and distribution
computation, scientistic computation and optimization. Applications include
wireless communication, finance computation, computational physics and data
mining. The members of this group have published papers in top journals and
conferences such as SIAM Journal on Computing and Annual ACM Symposium on Theory
of Computing (STOC).
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The members of the "Bioinformatics" group collaborate with the college of
medicine, college of life science and NTU hospital. They are involved in the
development of FASTA, a influential pioneer software for sequence analysis. They
have achieved a lot in this area. For example, for classification, our faculty
have taken a leading role in developing algorithms for SVM (support vector
machine) and RBF (radial basis function). Thousands of users all over the world
are using their software including LIBSVM and BSVM. They are also involved in
many important national research projects for bioinformatics such as "national
research program for genomic medicine" and "national program for biotechnology
and pharmaceuticals".
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The focus of For "Multimedia and Digital Content" research group is
related to content science and media engineering. This group collaborates
closely with Sinica, EE department, department of library and information
science, institute of linguistics, institute of journalism and the department of
drama and theatre. The research topics include editing and analysis for
multimedia content, language analysis and so on. One member of this group, the
communication and multimedia laboratory, is one of the pioneering research
groups in multimedia research. For years, this lab has executed research
projects worthy of more than 100 million NTD and transferred technology to many
companies such as CyberLink and DigiMax.
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| Activities |
| Dept of Computer Science and Information Engineering The faculty members of our department are very active in international
organizations and play roles as program committee members and session chairs in
many important conferences such Annual International Conference on Research in
Computational Molecular Biology (ACM RECOMB), IEEE International Conference on
Robotics and Automation (ICRA), IEEE Conference on Control Applications (CCA),
IEEE Conference on Decision and Control, American Control Conference, IEEE
Real-Time Systems Symposium (RTSS), IEEE Real-Time Technology and Embedded
Applications Symposium (RTAS), International Conference on Parallel Processing (ICPP),
International Symposium on Fault-Tolerant Computing (FTCS), IEEE International
Conference on Computer-Aided Design (ICCAD) and IEEE International Conference on
Multimedia and Explore. They also won many honors including four IEEE fellows,
eight NSC outstanding research awards and three Sinica young researcher awards.
In addition, they also work closely with the industry, owning patents and
founding companies.
The research of our department can be categorized into four big research groups:
"embedded systems", "high performance computing", "bioinformatics", and
"Multimedia and Digital Content":
The "embedded systems" group is consisted of Intelligent Robotics and
Automation Laboratory, System On Chip Laboratory, Embedding Computing
Laboratory, Intelligent Space Laboratory, Low Power VSLI Laboratory, Wireless
Network & Mobile Computing Laboratory. The group members are experienced in
control and SOC design for industry and very collaborative with the industry.
They also won a lot of honors such as IEEE fellows, NSC outstanding research
awards and IEEE CSIDC 2003 championship.
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