Hyemi Jeong
Papers
4
Total Citations
14
H-Index
2
About
Hyemi Jeong is a robotics researcher whose work focuses on enhancing robotic perception, dexterous manipulation, and actuation systems. Her key research areas include vision-based control, tactile sensing, and the design of compact, intelligent robotic hardware. Jeong’s most impactful contributions address critical challenges in autonomous grasping and object handling. In her 2022 work on vision-based reinforcement learning, she developed a method for moving object grasping using a single active-view camera, solving the problem of occluded or obstructed views—a common limitation in traditional static-camera setups. She further advanced robotic gripper autonomy with a 2023 study proposing a multilayer-perceptron-based slip detection algorithm that uses only normal force data from sensor arrays, achieving high-performance slip detection essential for secure grasping of unknown objects. Her research also extends to hardware innovation, including the design and optimal control of an under-actuated anthropomorphic robotic finger and the modeling of compact electrohydraulic actuators for automation and aerospace applications. With each of her top-cited papers garnering 2–5 citations, Jeong’s work is gaining recognition for its practical integration of learning algorithms and sensor-driven control, marking her as a promising contributor to next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
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