Jae Woong Shim

Tech University of Korea, Kyungpook National University

Papers

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About

Jae Woong Shim is a researcher at the forefront of intelligent robotics and embedded vision systems. His primary research areas encompass multi-robot cooperation, localization, and energy-efficient hardware design for autonomous platforms. Shim’s major contributions lie in developing innovative localization frameworks that integrate aerial and ground robots, as demonstrated in his most-cited work, "A 2.5D Map-Based Mobile Robot Localization via Cooperation of Aerial and Ground Robots" (2017, 31 citations). This paper addresses the challenge of unknown environments by enabling robots to collaboratively build and use maps, significantly enhancing navigation accuracy. He also advanced indoor localization techniques using fixed surveillance cameras, as seen in his 2016 paper (21 citations), offering a cost-effective alternative to traditional sensor-heavy methods. Additionally, Shim has explored the impact of 3D stacking and technology scaling on stereo matching processors (2017), contributing to the development of low-power, area-efficient hardware for real-time systems like autonomous vehicles. His work bridges the gap between algorithmic innovation and practical hardware implementation, making him a notable figure in the robotics and embedded systems community.