Maria Gabriella Xibilia

About

Maria Gabriella Xibilia is a leading figure in the development of smart materials and bio-inspired robotic systems. Her research primarily focuses on ionic electroactive polymer metal composites (IPMCs) and their application as soft actuators and sensors. Xibilia’s major contributions include pioneering the use of deep learning and low-order nonlinear models to create soft sensors that accurately estimate the deflection of IPMC actuators—work that has garnered over 50 citations. She has also made notable strides in modeling complex biological swarm behaviors, such as the motion dynamics of Artemia populations, and has developed innovative wireless underwater robot systems to study these groups. Her earlier work introduced hypercomplex neural network platforms for precise robot positioning in 3D space, demonstrating her versatility across control theory and neural computation. With several papers exceeding 30 citations and a portfolio spanning fabrication, modeling, and real-world applications in robotics, surgery, and aerospace, Xibilia’s research continues to influence the next generation of postsilicon smart devices and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Ionic electroactive polymer metal composites: Fabricating, modeling, and applications of postsilicon smart devices

   59 citations · 2013
2. 2
   Low-order Nonlinear Finite-Impulse Response Soft Sensors for Ionic Electroactive Actuators Based on Deep Learning

   54 citations · 2018
3. 3
   Artemia swarm dynamics and path tracking

   32 citations · 2011
4. 4
   Nonlinear model identification for Artemia population motion

   21 citations · 2012
5. 5
   An hypercomplex neural network platform for robot positioning

   16 citations · 2002
6. 6
   Wireless underwater mobile robot system based on ZigBee

   13 citations · 2012
7. 7
   A soft sensor for the estimation of ionic electroactive actuator motion based on deep learning

   3 citations · 2018

Key Collaborators

Contact & Links