• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.106.3-106
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• 2002

1. Introduction 2. Petri-Net 3. Dynamic environment recognition 4. Simulation 5. Conclusion. References

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.38.4-38
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• 2002

We propose a fast map-matching algorithm based on the length and the slope for the sequence of lines extracted from a laser range finder and a map. After finding two feature set from laser data and a map, the position and heading of the mobile robot can be determined exactly.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.119.4-119
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• 2002

$\textbullet$ Intoduction : Control architecture of PSR $\textbullet$ Layered functionality diagrams $\textbullet$ Class diagrams $\textbullet$ Petri-net based configuration diagram $\textbullet$ Experiments $\textbullet$ Conclusions

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.99.5-99
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• 2002

$\textbullet$ 3-D object tracking framework $\textbullet$ Using fast stereo vision system for range image $\textbullet$ Using CONDENSATION algorithm to tracking object $\textbullet$ For recognizing object, superquardrics model is used $\textbullet$ Our target object is like coils in steel works

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.111.3-111
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• 2002

$\textbullet$introduction $\textbullet$CO-evolution Algorithm $\textbullet$Subsumption Architecture $\textbullet$Neural Network $\textbullet$Khepera Robot

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.106.4-106
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• 2002

$\textbullet$ Multisensor $\textbullet$ Localization $\textbullet$ GPS $\textbullet$ Dead Reckoning $\textbullet$ Indoor Environment

• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.109-112
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• 1988

다각 보행로보트를 효율적으로 운용하기 위한 총괄적인 관리제어 시스템이 설계되었다. 운영체제인 XINU를 시스템내의 프로세서간의 통신 및 작업 스케쥴링을 효휼적으로 하기위해 채용하였다. 보행로보트의 제어프로그램이 개발되었으며, 1각의 기구 모형에 대한 실험이 수행되었다.

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.317-320
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• 1986

A co-operative position control is proposed for two robot manipulators with 5 degree of freedoms to transfer an object following a specified trajectory, where each manipulator is assumed to change the posture of its end effector without releasing the object.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.1593-1594
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• 2011

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.1
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• pp.70-77
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• 2015

This paper proposes an application of unscented Kalman filter(UKF) for localization of an underwater robot. The method compares the bathymetric measurement from the robot with the seabed terrain information. For the measurement of bathymetric range to seabed, it uses a DVL which typically yields four range data together with velocity of the robot. Usual extended Kalman filter is not appropriated for application in case of terrain navigation, since it is not feasible to derive Jacobian for the bathymetric range measurement. Though particle filter(PF) is a nice solution which doesn't require Jacobian and can deal with non-linear and non-Gaussian system and measurement, it suffers from heavy computational burden. The paper compares the localization performance and the computation time of the UKF approach and PF approach. Though there have been some UKF methods which are used for underwater navigation, application of the UKF for bathymetric localization is rare. Especially, the proposed method uses only four range data whereas many of the bathymetric navigation methods have used multibeam sonar which yields hundreds of scanned range data. The result shows feasibility of the UKF approach for terrain-based navigation using small numbers of range data.