Mohammadreza Shetab-Bushehri
Papers
4
Total Citations
64
H-Index
3
About
Mohammadreza Shetab-Bushehri is a leading researcher in the field of robotic manipulation, with a primary focus on the challenging problem of **shape servoing** for deformable objects. His work addresses the critical gap in automating tasks that involve elastic materials, which traditionally require skilled human operators. Shetab-Bushehri’s major contribution is the development of a unified framework that integrates shape tracking and servoing using a **lattice-based approach**. By forming a virtual lattice around an object and binding it to the object’s deformation, his method allows robots to control complex shapes indirectly and robustly. His most influential paper, "As-Rigid-as-Possible Shape Servoing" (2022, 39 citations), introduces a novel control strategy that exploits an object’s natural tendency to preserve local rigidity, making deformation more intuitive and stable. This work, alongside his lattice-based tracking and servoing papers (20 citations in 2023), has significantly advanced the state of the art in deformable object manipulation. Shetab-Bushehri’s research is paving the way for more autonomous and reliable robotic systems in industries ranging from manufacturing to healthcare, where precise handling of soft materials is essential.
Research Focus
Key Achievements
Top Papers
- 1As-Rigid-as-Possible Shape Servoing39 citations · 2022
- 2Lattice-Based Shape Tracking and Servoing of Elastic Objects20 citations · 2023
- 3Optimal Shape Servoing with Task-focused Convergence Constraints3 citations · 2022
- 4Lattice-based shape tracking and servoing of elastic objects2 citations · 2022