Daesik Jang

Sungkyunkwan University, Kunsan National University

Papers

Total Citations

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About

Daesik Jang is a leading researcher in intelligent robotics, with a primary focus on enabling human-like, real-time manipulation for service robots. His work bridges the critical gap between perception and action, aiming to create robots that can interact with unstructured, dynamic environments as intuitively as humans do. Jang’s most influential contribution is his novel approach to real-time 3D workspace modeling using stereo cameras, presented in his highly cited 2005 paper (36 citations). This work established fundamental principles for how robots can perceive and model their surroundings for manipulative tasks, moving beyond static, pre-programmed environments. He further advanced this field in his 2008 work (6 citations), which integrated real-time 3D modeling with accessibility analysis for motion planning, directly addressing the challenge of achieving human-like behavior in versatile service robots. By focusing on the seamless integration of perception and motion planning, Jang’s research lays the essential groundwork for robots that can safely and effectively assist humans in everyday settings, from the home to the workplace.