Ryo Kojima
Papers
2
Total Citations
11
H-Index
2
About
Ryo Kojima is a robotics researcher whose work centers on robotic manipulation, tactile sensing, and human-robot collaboration. His major contributions include the development of a soft fingertip with tactile sensation that uses magnetic flux density changes to detect the grasping orientation of thin objects, such as circuit boards. This innovation, featuring neodymium magnets and a 3-axis Hall sensor, enhances robot grippers' precision in delicate tasks. Kojima also led Team C2M in the Amazon Picking Challenge 2016, designing two cooperative robots for efficient picking and stowing operations, demonstrating practical advances in warehouse automation. While his citation counts are modest—6 and 5 for his top papers—his work has direct industrial relevance, particularly in manufacturing and logistics. Kojima’s research bridges tactile sensing and multi-robot coordination, offering foundational insights for students and researchers interested in dexterous manipulation and collaborative robotics. His achievements highlight the importance of integrating sensory feedback into robotic systems for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2