World Class Outcomes

Robot Intelligence Technology Lab. at KAIST

  • World First Multi-layer Architecture for Interoperability between Cyber and Physical Systems

    • J.-H. Kim, I.-B. Jeong, I.-W. Park and K.-H. Lee, “Multi-layer Architecture of Ubiquitous Robot System for Integrated Services,” International Journal of Social Robotics, Inaugural Issue, Vol. 1, No. 1, Jan. 2009.
    • J.-H. Kim, S.-H. Cho, Y.-H. Kim and I.-W. Park, “Two-layered Confabulation Architecture for an Artificial Creature’s Behavior Selection,” IEEE Trans. on Systems, Man, and Cybernetics – PART C, vol. 38, no. 6, pp. 1-7, Nov. 2008.
    • T.-H. Kim, S.-H. Choi and J.-H. Kim, “Incorporation of Software Robot and Mobile Robot Using Middle Layer,” IEEE Trans. on Systems, Man and Cybernetics – Part C, vol. 37, no. 6, pp. 1342-1348, Nov. 2007.

      • In this research, a multi-layer architecture of ubiquitous robot system was proposed for the first time to address the problems of interoperability between different hardware and software platforms in a ubiquitous robot environment. Along with the architecture, novel two-layered confabulation architecture is proposed for an artificial creature to select a proper behavior considering the internally generated will and the context of the external environment consecutively.

 

  • World First Artificial Creature with its Own Specific Personality

    • J. -H. Kim, C. -H. Lee and K. -H. Lee, “Evolutionary Generative Process for an Artificial Creature’s Personality,” IEEE Trans. on Systems, Man, and Cybernetics – Part C, (accepted), Oct. 2008.

      • In this research, an evolutionary generative process for an artificial creature’s personality (EGPP) algorithm was proposed to generate a genome as its output for a specific personality of artificial creature, which is characterized by the manner of responses such as internal state variation and behaviors.

    • J.-H. Kim and C.-H. Lee, “Multi-objective Evolutionary Generation Process for Specific Personalities of Artificial Creature,” IEEE Computational Intelligence Magazine, vol. 3, issue. 1, pp.43-53, Feb. 2008.

      • In this research, a multi-objective evolutionary generation process for artificial creatures’ specific personalities (MOEGPP) was proposed to design an artificial genome that contributes to defining an artificial creature’s personality.

 

  • World Best Face Detection Algorithm among Face Detection Schemes using Evolutionary Algorithm

    • J.-S. Jang and J.-H. Kim, “Fast and Robust Face Detection using Evolutionary Pruning,” IEEE Trans. on Evolutionary Computation, vol. 12, no. 5, pp. 562-571, Oct. 2008.

      • In this research, a fast and robust face detection system was proposed by introducing evolutionary algorithms to optimize ensembles of classifiers. AdaBoost and cascade structure were employed as a basic framework.

 

  • World First Humanoid Robot with Modifiable Walking Gait in Real Time While Walking

    • B.-J. Lee, D. Stonier, Y.-D. Kim and J.-K. Yoo and J.-H. Kim, “Modifiable Walking Pattern of a Humanoid Robot by Using Allowable ZMP Variation,” IEEE Transaction on Robotics, vol. 24, no.4, pp.917-923, Aug. 2008.
    • Y.-D. Kim, B.-J. Lee, J.-H. Ryu and J.-H. Kim, “Landing Force Control for Humanoid Robot by Time-Domain Passivity Approach,” IEEE Trans. on Robotics, vol. 23, no. 6, pp. 1294-1301, Dec. 2007.

      • In this research, a real-time modifiable walking pattern generator was developed by controlling the ZMP trajectory with two closed-form functions such that robot can dynamically modify the walking period and step length in both sagittal and lateral planes.

 

  • World First Invention of Robot Soccer

    • “Soccer Robotics (Springer Tracts in Advanced Robotics),” Springer-Verlag, ISBN 3540218599
    • J.-H. Kim, Y.-H. Kim, S.-H. Choi and I.-W. Park, “Evolutionary Multi-objective Optimization in Robot Soccer System for Education,” IEEE Computational Intelligence Magazine, Feb. 2009.

      • In this research, a multi-objective population-based incremental learning (MOPBIL) algorithm was proposed to obtain the fuzzy path planner for optimal path to the ball, minimizing the three objectives: elapsed time, heading direction and posture angle errors in a robot soccer system.

 

  • World First Implementation of Ubiquitous Robot

    • J.-H. Kim, K.-H. Lee, Y.-D. Kim, N. S. Kuppuswamy and J. Jo, “Ubiquitous Robot: A New Paradigm for Integrated Services,” in Proc. IEEE International Conference on Robotics and Automation, Roma, Italy, pp. 2853-2858,, Apr. 2007.
    • J.-H. Kim, Y.-D. Kim and K.-H. Lee, “The Third Generation of Robotics: Ubiquitous Robot,” in Proc. the International Conference on Autonomous, Palmerston North, New Zealand, Dec. 2004.
    • J.-H. Kim, “Ubiquitous robot,” Reusch B (ed) Computational Intelligence, Theory and Applications, Springer, Berlin, pp. 451–459, 2004.

 

  • World First Implementation of Genetic Robot

    • J.-H. Kim, K.-H. Lee and Y.-D. Kim, “The Origin of Artificial Species: Genetic Robot,” International Journal of Control, Automation, and Systems, vol. 3, no. 4, pp. 564-570, Dec. 2005.

 

  • World First Quantum-inspired Evolutionary Algorithm

    • K.-H. Han and J.-H. Kim, “Quantum-inspired evolutionary algorithms with a new termination criterion, He gate, and two-phase scheme,” IEEE Trans. on Evolutionary Computation, vol. 8, issue. 2, pp. 156-169, Apr. 2004.
    • K.-H. Han and J.-H. Kim, “Quantum-inspired Evolutionary Algorithm for a Class of Combinatorial Optimization,” IEEE Trans. on Evolutionary Computation, vol. 6, no. 6, pp. 580-593, Dec. 2002.

 

  • World First Evolutionary Two-Layered Fuzzy Logic Control Scheme

    • J.-Y. Jeon, J.-H. Kim and K. Koh, “Experimental Evolutionary Programing – Based High- Precision Control,” IEEE Control Systems Magazine, vol. 17, no. 2, pp. 66-73, Apr. 1997.
    • J.-H. Kim, J.-H. Park and S.-W. Lee, “Fuzzy Precompensation of PD Controllers for Systems with Deadzones,” IEEE Trans. on Industrial Electronics, vol. 41, no. 3, Oct. 1994.
    • J.-H. Kim, J.-H. Park, S.-W. Lee and Edwin K.P.Chong, “A Two-Layered Fuzzy Logic Controller for Systems with Deadzones,” IEEE Trans. on Industrial Electronics, vol. 41, no. 2, pp. 155-162, Apr. 1994.