Koji Minoda
Papers
1
Total Citations
3
H-Index
1
About
Koji Minoda is a researcher at the forefront of computer vision and human-robot interaction, with a specialized focus on 3D human pose estimation in extreme environments. His most notable work, "3D Human Pose Estimation in Weightless Environments Using a Fisheye Camera" (2022), addresses the unique challenges of tracking human movement in microgravity settings like the International Space Station (ISS). By leveraging fisheye cameras to capture the high-degree-of-freedom motion characteristic of weightless conditions, Minoda has pioneered techniques that enable robots to better interpret and interact with humans in space. This contribution is critical for advancing autonomous robotic assistance in orbital habitats, where traditional pose estimation methods fail due to the lack of a fixed ground plane. While his citation count is currently modest, the novelty and practical implications of his work position him as an emerging leader in space robotics and computer vision. Minoda’s research bridges the gap between terrestrial pose estimation algorithms and the demands of off-world environments, laying essential groundwork for future human-robot collaboration in space exploration.
Research Focus
Key Achievements
Top Papers
- 1