Yacine Amara
Papers
4
Total Citations
111
H-Index
2
About
Yacine Amara is a leading researcher in the field of soft robotics and continuum manipulators, with a particular focus on the modeling, control, and shape reconstruction of bionic robotic systems. His work addresses the fundamental challenge of achieving high-performance control over inherently flexible, soft-structured robots, which offer significant advantages over conventional rigid manipulators but are notoriously difficult to model and control in real time. Amara’s major contributions include pioneering the use of Pythagorean Hodograph (PH) curves for the accurate modeling of continuum manipulators, a method detailed in his most-cited paper (85 citations), which provides a powerful mathematical framework for describing complex robot shapes. He has also made critical advances in inverse kinematic modeling for real-time control, as demonstrated in his work on the Compact Bionic Handling Assistant (22 citations). His research extends to shape reconstruction techniques for heterogeneous continuum robots, including innovative applications like closed-loop kinematic chains for skipping rope. With a total of over 110 citations across his key works, Amara’s research is foundational for advancing the practical deployment of soft robots in fields ranging from medical devices to industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Modeling of Continuum Manipulators Using Pythagorean Hodograph Curves85 citations · 2018
- 2
- 3Towards Accurate Shape Reconstruction of Compact Bionic Handling Arm2 citations · 2018
- 4