Yosra Mojtahedi
Papers
1
Total Citations
5
H-Index
1
About
Yosra Mojtahedi is a leading researcher at the intersection of soft robotics, human-robot interaction (HRI), and artistic technology. Her work focuses on enabling robust, intuitive tactile interactions between humans and soft robotic systems, with a particular emphasis on applications in the arts. Mojtahedi’s major contribution is the development of a model-based capacitive touch sensing approach that integrates a capacitive touch sensor with an online solid mechanics simulation using the SOFA framework. This innovation allows for accurate contact detection on soft robots of arbitrary shapes, overcoming a key challenge in HRI. Her most-cited paper, “Model-Based Capacitive Touch Sensing in Soft Robotics: Achieving Robust Tactile Interactions for Artistic Applications” (2025), has already garnered 5 citations, signaling its impact in this emerging field. By bridging engineering and creativity, Mojtahedi’s work not only advances soft robotic sensing but also opens new possibilities for interactive art installations and expressive robotic systems. Her research is highly relevant for students and researchers interested in tactile sensing, deformable robotics, and the integration of computational modeling with physical interaction.
Research Focus
Key Achievements
Top Papers
- 1