Shinsuke Kondoh
Papers
1
Total Citations
2
H-Index
1
About
Shinsuke Kondoh is a leading researcher in robotic manipulation, with a particular focus on automating the handling of deformable objects in industrial settings. His work addresses a critical gap in factory automation: while rigid object bin-picking has been largely solved using 3D data, flexible components like wire harnesses remain a major challenge due to their unpredictable poses. Kondoh’s key contribution lies in bridging this gap through learning from human demonstration. His most-cited paper, "Learning from Human Hand Demonstration for Wire Harness Grasping" (2024), introduces a novel approach that enables robots to grasp complex, deformable wires by mimicking human hand strategies. This work has already garnered 2 citations in its first year, signaling strong interest from the robotics community. By tackling one of the most stubborn problems in industrial automation, Kondoh is helping to pave the way for fully autonomous assembly lines. His research is essential reading for students and engineers working at the intersection of machine learning, computer vision, and robotic grasping.
Research Focus
Key Achievements
Top Papers
- 1Learning from Human Hand Demonstration for Wire Harness Grasping2 citations · 2024