Deok-Hwa Kim (김덕화)

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Deok-Hwa Kim received his B.S. degree in Media Communication Engineering from the Hanyang University, Seoul, Republic of Korea in 2011. And he received his M.S. degree in Robotics Program from the Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea in 2013, where he is currently working toward the Ph.D. degree.

His research interests include visual simultaneous localization and mapping, embedded system, motion planning and robot development based on the robotic operating system.


  1. B.S. - Media Communication Engineering from Hanyang University, 2007 - 2011.
  2. M.S. - Department of Robotics Program from KAIST, 2011- 2013.
  3. Ph.D. Candidate - Electrical Engineering from KAIST, 2013 - current.

Research Interests

  • Visual SLAM
  • Embedded system
  • Robot development based on ROS

Source code


  • Development of Shape Measurement System for Container Ship Hold, Hyundai Heavy Industires, 2014-2015

  • Long-term Memory Centered intelligence Operating Architecture for Artificial Intelligence , Samsung, 2015-2016

  • Development of Robot task intelligence technology that can perform task more than 80% in inexperience situation through , Ministry of Trade, Industry and Energy, 2016-current


  • Broadcasting Image Equipment using Multi-Joint Movement Manipulator and Method of Controlling thereof, 10-2016-0168535(Application), Korea, 2016.

  • Method and Apparatus for RGB-D Dense Visual Odometry based on Background Model in a Dynamic Environment, 10-2016-0135992(Application), Korea, 2016.

  • Automatic Measuring System of Cargo Space in Container Using Measuring Robots, 10-2014-0103898(Application), Korea, 2014.

  • Automatic Measuring System for Cell Guide of Container, 10-2014-0103899(Application), Korea, 2014.

Publication (Journal)

  • D.-H. Kim, G.-M. Park, Y.-H. Yoo, S.-J. Ryu, I.-B. Jeong and J.-H. Kim, "Realization of task intelligence for service robots in an unstructured environment," Annual Reviews in Control, vol. 44, pp. 9-18, Oct. 2017.

  • D.-H. Kim and J.-H. Kim, "Effective Background Model-Based RGB-D Dense Visual Odometry in a Dynamic Environment," IEEE Transactions on Robotics, vol. 32, no. 6, pp. 1565-1573, Dec. 2016.

  • I.-B. Jeong, W.-R. Ko, G.-M. Park, D.-H. Kim, Y.-H. Yoo and J.-H. Kim, "Task Intelligence of Robots: Neural Model-based Mechanism of Thought and Online Motion Planning," IEEE Transactions on Emerging Topics in Computational Intelligence, vol . 1, no. 1, pp. 41-50, Feb. 2017.

  • N. Jauwairia, Y.-H. Yoo, D.-H. Kim and J.-H. Kim, "User Preference-based Dual-Memory Neural Model with Memory Consolidation Approach," IEEE Transactions on Neural Networks and Learning Systems, (Accepted), Apr. 2017.

  • G.-M. Park, Y.-H. Yoo, D.-H. Kim and J.-H. Kim, "Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots," IEEE Trans. on Cybernetics, (Accepted), Jun. 2017.

Publication (Conference)

  • S.-H. Cho, S.-H. Baek, D.-H. Kim, Y.-H. Yoo and J.-H. Kim, "Cogent Confabulation-based Hierarchical Behavior Planner for Task Performance," in Proc. 2016 IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, Oct. 2016.

  • J.-Y. Park, Y.-H. Yoo, D.-H. Kim and J.-H. Kim, "Integrated Adaptive Resonance Theory Neural Model for Episodic Memory with Task Memory for Task Performance of Robots," in Proc. 2016 IEEE World Congress on Computational Intelligence, Vancouver, Canada, Jul. 2016.

  • S.-B. Han, D.-H. Kim and J.-H. Kim, "Fuzzy Gaze Control-based Navigation Assistance System for Visually Impaired People in a Dynamic Indoor Environment," in Proc. 2015 IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, Aug. 2015.

  • Deok-Hwa Kim, Seungbeom Han and Jong-Hwan Kim, "Visual Odometry Algorithm Using an RGB-D Sensor and IMU in a Highly Dynamic Environment," in Proc. International Conference on Robot Intelligence Technology and Applications (RiTA), Beijing, China, Nov. 2014.

  • Deok-Hwa Kim and Jong-Hwan Kim, "Visual Loop-Closure Detection Method Using Average Feature Descriptors," in Proc. International Conference on Robot Intelligence Technology and Applications (RiTA), Denver, USA,, Dec. 2013.

  • Deok-Hwa Kim, Yong-Ho Yoo, Si-Jung Ryu, Woo-Young Go and Jong-Hwan Kim, "Automatic Color Detection for MiroSOT Using Quantum-inspired Evolutionary Algorithm," in Proc. 2013 FIRA Robot World Congress, Kuala Lumpur, Malaysia, Aug. 2013.

  • Deok-Hwa Kim, and Jong-Hwan Kim, "Image-based ICP Algorithm for Visual Odometry Using an RGB-D Sensor in a Dynamic Environment," in Proc. International Conference on Robot Intelligence Technology and Applications (RiTA), Gwangju, Korea, Dec. 2012.

  • Woo-Ri Ko, Chang-Young Jung, Yong-Ho Yoo, Deok-Hwa Kim and Jong-Hwan Kim, "Behavior Selection Algorithm for Personal Service Robots Using Intelligence Operating Architecture," in Proc. FIRA-TAROS 2012, Bristol, U.K., Aug. 2012.


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