Shintaro Yoshizawa
Toyota Motor Corporation (Switzerland), University of Würzburg
Papers
2
Total Citations
70
H-Index
2
About
Shintaro Yoshizawa has made pioneering contributions at the intersection of computer vision, robotic manipulation, and optimization theory. His most influential work addresses the fundamental challenge of enabling dexterous robotic hands to grasp unknown objects in cluttered, occluded environments. In his highly cited 2005 paper (58 citations), Yoshizawa introduced an integrated system combining image-based 3D reconstruction, object separation, and Rapidly-exploring Random Trees (RRTs) for motion planning—a breakthrough that allowed robots to autonomously grasp objects even when they were partially hidden from view. This work laid essential groundwork for modern robotic picking systems used in manufacturing and logistics. Beyond applied robotics, Yoshizawa has also made significant theoretical contributions to optimization. His 2002 paper (12 citations) developed a Newton algorithm for convex optimization problems on Euclidean Jordan algebras, proving quadratic convergence with an explicit step-size selection. This elegant mathematical framework has found applications beyond robotics, demonstrating Yoshizawa’s ability to bridge abstract theory with practical engineering challenges. His work continues to influence researchers in robotic manipulation, motion planning, and optimization.
Research Focus
Key Achievements
Top Papers
- 1
- 2