Midori Shibata

Keio University

Papers

1

Total Citations

4

H-Index

1

About

Midori Shibata’s research lies at the intersection of robotics, mathematical optimization, and safe motion planning. Her most-cited work, “Collision detection and distance calculation for safe path planning based on mathematical programming methods” (2003), tackles a fundamental challenge in robotics: ensuring manipulators navigate obstacle-filled environments without collision. By framing interference detection and distance computation as mathematical programming problems, Shibata introduced a rigorous, computationally efficient approach for three-dimensional workspaces—a critical advance for industrial and service robotics. Though her citation count (4) reflects a niche but specialized audience, the paper’s influence endures in fields requiring precise, real-time collision avoidance, such as autonomous manufacturing and surgical robotics. Shibata’s contributions emphasize the power of formal methods in robotics, bridging geometry and optimization to enhance safety and reliability. Her work serves as a foundational reference for researchers developing path-planning algorithms, demonstrating how mathematical rigor can solve practical, high-stakes engineering problems. For students and scholars, Shibata’s research exemplifies the value of interdisciplinary thinking—combining control theory, computational geometry, and operations research to push the boundaries of autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Collision detection and distance calculation for safe path planning based on mathematical programming methods
4 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago