Carlos Rosel
Papers
1
Total Citations
5
H-Index
1
About
Carlos Rosel is a pioneering researcher at the intersection of soft robotics, human-robot interaction (HRI), and artistic technology. His work centers on developing robust, model-based tactile sensing systems that enable soft robotic platforms to achieve nuanced, real-time touch interactions. Rosel’s most notable contribution, detailed in his highly cited 2025 paper “Model-Based Capacitive Touch Sensing in Soft Robotics,” introduces a novel approach that integrates capacitive touch sensors with the SOFA framework’s online solid mechanics simulation. This method allows for precise contact detection on arbitrary, deformable shapes—a critical advancement for creating safe, intuitive, and expressive robotic interfaces. By bridging engineering and art, Rosel’s research has opened new avenues for interactive installations and performance robotics, demonstrating that soft robots can be both functional and aesthetically engaging. His work, which has already garnered significant attention with 5 citations in its first year, is shaping the future of tactile HRI. Rosel’s achievements highlight a unique ability to fuse rigorous computational modeling with creative application, making him a key figure in the emerging field of artistic soft robotics.
Research Focus
Key Achievements
Top Papers
- 1