Jinjae Shin

Papers

Total Citations

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About

Jinjae Shin is a robotics researcher specializing in locomotion and manipulation for legged systems and robotic manipulators. Their key research areas include stair perception and mapping for quadruped robots, as well as motion planning and control to enhance stability and efficiency in dynamic environments. Shin’s most cited work, “Stair-mapping with Point-cloud Data and Stair-modeling for Quadruped Robot” (2019, 10 citations), introduces a novel method that leverages point-cloud measurements and stair-modeling to enable quadruped robots to navigate stairs despite limited sensor range due to their physical structure. This contribution addresses a critical challenge in legged locomotion, improving autonomous traversal in complex terrains. Additionally, Shin’s paper “Oscillation reduction for artificial potential field using vector projections for robotic manipulators” (2023, 3 citations) proposes a technique to mitigate oscillations in potential field-based path planning, enhancing smoothness and precision for manipulator tasks. These works demonstrate Shin’s focus on practical, sensor-driven solutions that bridge perception and control, with potential applications in search-and-rescue, industrial automation, and assistive robotics. Their research continues to advance the reliability and adaptability of robots in real-world settings.