Ahyeon Kim

Papers

1

Total Citations

2

H-Index

1

About

Ahyeon Kim is a researcher at the intersection of assistive robotics, human-robot interaction, and intelligent control systems. Their most-cited work, "Development of ROS-based Simulator for a Wheelchair-typed Service Robot" (2020), introduces a transformative approach to mobility assistance for the elderly and individuals with disabilities. By leveraging the Robot Operating System (ROS) and the Gazebo 3D simulator, Kim developed a variable-configuration wheelchair robot that can be intuitively controlled via joystick or keyboard for remote operation. A standout feature is the robot’s ability to manually or automatically adjust its backrest and leg supports using reinforcement learning, allowing users to achieve their most comfortable posture. This work bridges open-source robotics frameworks with practical assistive technology, demonstrating a scalable simulation environment for testing and refining service robots. With 2 citations, this foundational paper has laid the groundwork for future studies in adaptive wheelchair design and autonomous posture control. Kim’s contributions highlight a commitment to enhancing quality of life through accessible, intelligent robotic solutions, making their research a valuable resource for students and engineers exploring ROS-based assistive systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Development of ROS-based Simulator for a Wheelchair-typed Service Robot
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago