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Gyeonggi Province International Collaborative Research

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Project Description
-Project Description

Gyeonggi Province International Collaborative Research on "Cognitive Personal Transport Service Robot" which is funded by the Gyeonggi Provincial Government of Korea and administrated by the Gyeonggi Research Institute, started from Sep.2009 and will be continued till Sep. 2012.

For the project, one of the most premier research center, LASMEA (Laboratoire Sciences et Materiaux pour I'Electronique, et d'Automotique) in Clemont-Ferrand, France has joined the collaborative work with us for some years.

The international collaboration among two parties involved began when the Agreement for Academic Cooperation, MOU was signed by and betwwen University Blaise Pascal and SungKyunKwan University on the date of Nov. 28th, 2009 for the promotion of educational and academic exchanges. The follow-up agreement on launching a joint endeavor for international collaboration in both research and education, as described in the Memorandum of Agreement, MOA and its two Annexes, Research and Education Annexes, signed by and between UBP/LASMEA and SKKU/ISRI on the date of April 1st, 2009, has detailed the framework of collaboration.

As a means of implementing the collaborative research and education defined by MOA and its two Annexes, our Institute was selected in the project for funding for 3 years, starting Nov 1, 2009, with the total annual funding, excluding the in-kind contribution, of about 4.2 Bilion won.

The project has the following research objectives to accomplish, 1) To develop original technologies, as well as designing and demonstrating a prototype, for the Cognitive Personal Transport Service Robot capable of autonomous and/or semi-autonomous individual robotic and environmentally friendly call taxi service in towns, campuses, and tourist attractions where the driving environments such as roads, traffic signs, moving traffics, pedestrains and local hazards are poorly structures.

2) To explore enabling technologies for extending the devloped Cognitive Personal Transport Service Robot into a public ride-share system. The key technologies to be developed include 1) Autonomous navigation with self-contained mappping and localization capabilities that can be extended to GPS disabled areas, 3) Sociable multi-modal human-vehicle interaction, and 4) Platforms for software, hardware and network for a cognitive personal transport robot based ride share system.

-Project Performance

The project will be carried out with the following reserach objective that make best use of the expertise of the LASMEA

1) To develop technologies for real-time vehicle localization and map building forautonomous navigation based on multiple sensing modalities such as vision and GPS,

2) To develop technologies for understanding traffic situations for safe navigation in a dynamically changing real environment

3) To develop technologies for coordinating multiple vehicles, and

4) To develop technologies for environmentally friendly platforms integrated with sensing, computing, communication and control. To carry out the project effectively in coordination with the project, the parties of common platforms for easy share and integration of research results, the sharing of test facilities such as PAVIN site, the coadivisement of PhD students of UBP and SKKU, the exchange of researchers and students, etc., with the vision of establishing a joint research laboratories in the form of "Laboratory without Walls".

-Project Process

In the project, we will develop two types of cognitive transport service robot, one of which is a common platform with LASMEA/ISRI and have some specialties on the autonomous navigation with visual mamory in outdoor environments, and the other platform developed by other consortial laboratories in SKKU with a company, ADtechs in Korea has some advantages on autonomously navigating in urban roads and campus in Korea.

In earlier step of the development process, experiments and demonstrations will be accomplished in the simpler track in SKKU and its navigation performance will be strengthend and increased with stabilities, robustness and cognitive abilities.

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