Jeong-Gwan Kang
Pohang University of Science and Technology, Samsung (South Korea)
Papers
12
Total Citations
200
H-Index
8
About
Jeong-Gwan Kang has made significant contributions to mobile robotics, with a primary focus on simultaneous localization and mapping (SLAM), autonomous navigation, and service robot systems. His work addresses critical challenges in enabling robots to operate seamlessly across multi-floor environments, particularly through elevator navigation—a problem he tackled in his most-cited paper (36 citations). Kang developed innovative approaches to SLAM using neuro-evolutionary optimization and neural network-aided extended Kalman filters, improving feature map accuracy by compensating for systematic and non-systematic odometric errors. His line segment-based indoor mapping technique, employing Rao-Blackwellized particle filters with salient line feature extraction, reduced computational complexity while maintaining robust localization in large indoor spaces. Kang also contributed to the development of PHOPE, an intelligent building guide robot integrating face recognition, voice communication, and navigation. His work on retrainable neural network frameworks for robust object recognition further advanced mobile robotics perception. With over 190 cumulative citations across his publications from 2007-2012, Kang's research has laid important groundwork for practical service robot deployment in complex, multi-floor environments.
Research Focus
Key Achievements
Top Papers
- 1Navigation strategy for the service robot in the elevator environment36 citations · 2007
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- 5Line Segment-Based Indoor Mapping with Salient Line Feature Extraction23 citations · 2012
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- 7SLAM with salient line feature extraction in indoor environments21 citations · 2010
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- 10A system architecture for intelligent building guide robot PHOPE4 citations · 2009