Hong-ryul Jung
Papers
5
Total Citations
62
H-Index
4
About
Hong-ryul Jung is a robotics researcher whose work bridges the critical gap between high-level reasoning and low-level control for autonomous and service robots. His primary research areas include combined task and motion planning (CTAMP), mobile robot control, and human-robot interaction. Jung’s major contributions lie in developing hierarchical action decomposition methods that enable service robots to integrate symbolic reasoning with geometric constraints, allowing them to perform complex object manipulation tasks while maintaining socially viable behaviors. His 2022 paper on CTAMP, which has garnered 17 citations, addresses the fundamental challenge of sequencing robot actions through both symbolic and geometric reasoning. Additionally, his work on climbing control for autonomous mobile robots (29 citations) introduces novel methods for estimating wheel slip and wheel-ground contact angles, significantly improving robot mobility on challenging terrains. More recently, Jung has advanced the field with model predictive contouring control for four-wheel independent steering and driving robots, enabling holonomic movement. His 2024 paper on task-motion planning for socially viable service robots demonstrates his commitment to enhancing human-robot interactions by incorporating social behavior into object manipulation tasks.
Research Focus
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