Papers
6
Total Citations
432
H-Index
6
About
Mario Sanz Lopez is a leading researcher in soft robotics, computational modeling, and medical robotic interventions. His work bridges the gap between deformable materials and real-time control systems, enabling soft robots to be simulated and controlled with unprecedented precision. His most influential contribution is the development of a software toolkit for modeling, simulation, and control of soft robots (231 citations), which addresses fundamental differences between traditional and soft robotics—such as direct kinematics, Jacobians, and dynamics. He also pioneered a method for real-time control of soft robots using asynchronous finite element modeling (124 citations), solving the challenge of using accurate deformable models under strict real-time constraints. His framework for online simulation with optimization-based inverse models (48 citations) provides a unified software platform for the field. Beyond simulation, Sanz Lopez applies soft robotics to medical interventions, including a bio-inspired active prostate phantom for adaptive brachytherapy and biopsy, and a cooperative robotic concept for localized cancer treatment under real-time MRI. His work on stiffness rendering for soft tangible devices further advances haptic feedback in medical training. Through these contributions, Sanz Lopez has established himself as a key figure in making soft robotics practical for real-world control and clinical applications.
Research Focus
Key Achievements
Top Papers
- 1Software toolkit for modeling, simulation, and control of soft robots231 citations · 2017
- 2Real-time control of soft-robots using asynchronous finite element modeling124 citations · 2015
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- 4A Bio-Inspired Active Prostate Phantom for Adaptive Interventions14 citations · 2021
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