Shingo Kitagawa
Papers
11
Total Citations
94
H-Index
6
About
Shingo Kitagawa is a pioneering roboticist whose research sits at the intersection of human-robot interaction, manipulation, and perception. His most influential work, "Development and Evaluation of Mixed Reality Co-eating System" (23 citations), demonstrates how robots can enhance solitary dining by sharing eating behaviors, addressing Japan's growing trend of eating alone. Kitagawa's technical contributions are equally impressive—his "GraspFusion" framework (22 citations) revolutionized multi-modal grasping by fusing pinch and suction modalities with instance segmentation, enabling robots to handle diverse objects. He further advanced robotic picking with his "Instance Segmentation of Visible and Occluded Regions" system (10 citations), which allows robots to grasp target objects from cluttered piles by reasoning about occluded areas. Kitagawa's work on selective dual-arm grasping (9 citations) introduced multi-stage learning that prunes grasping points through real-world experience, significantly improving warehouse stowing efficiency. His recent integration of large-scale vision-language models for semantic scene difference detection (8 citations) pushes robots toward truly autonomous daily-life support. With over 90 total citations across his publications, Kitagawa continues to bridge the gap between practical manipulation and socially-aware robotics, making him a leading voice in creating robots that can both work alongside humans and improve their quality of life.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10