Andrea De Lorenzo
Papers
6
Total Citations
105
H-Index
5
About
Andrea De Lorenzo is a leading researcher in the field of soft robotics and artificial life, with a primary focus on voxel-based soft robots (VSRs). Her work centers on the evolutionary synthesis of distributed neural controllers that enable these elastic, cubic-block aggregations to move and sense their environment. De Lorenzo’s major contributions include the development of **2D-VSR-Sim**, a pioneering simulation tool designed to optimize both the body and brain of VSRs, facilitating research into morphological and behavioral design. Her most-cited paper, "2D-VSR-Sim: A simulation tool for the optimization of 2-D voxel-based soft robots" (2020), has garnered 40 citations, underscoring its impact as a foundational resource for the community. She has also advanced the field by evolving sensing controllers that allow VSRs to exhibit complex, life-like behaviors, as seen in her 2019 work with 24 citations. More recently, De Lorenzo has expanded into machine learning for terrain traversability in mobile robotics, demonstrating her versatility. Her work is instrumental in bridging evolutionary algorithms and soft robotics, offering tools and insights that inspire new generations of bio-inspired robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Evolution of distributed neural controllers for voxel-based soft robots25 citations · 2020
- 3Evolutionary Synthesis of Sensing Controllers for Voxel-based Soft Robots24 citations · 2019
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