Dianbo Ma

Kanazawa University

Papers

1

Total Citations

1

H-Index

1

About

Dianbo Ma is a researcher whose work lies at the intersection of robotic manipulation, contact mechanics, and autonomous systems. His primary research focuses on enabling robots to interact with and manipulate objects in unstructured environments, particularly when physical parameters like friction are unknown. Ma’s major contribution is the development of a novel planar pushing strategy that re-orients objects using two-edge-contact along a circular path, a method that achieves stable displacement without requiring precise knowledge of an object’s physical properties. This work, published in 2024, has already garnered attention for its practical implications in industrial automation and service robotics. By addressing the fundamental challenge of object re-orientation under uncertainty, Ma’s research advances the field of dexterous manipulation. His approach—leveraging friction estimation to guide contact-rich tasks—offers a robust solution for real-world applications where sensor noise and variability are inevitable. With a growing citation count and a focus on bridging theory and practice, Dianbo Ma is establishing himself as a promising voice in modern robotics, contributing to the development of more adaptive and reliable autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Object Re-Orientation via Two-Edge-Contact Pushing Along a Circular Path Based on Friction Estimation
1 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Kanazawa University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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