G. Sangiovanni
Papers
2
Total Citations
16
H-Index
2
About
G. Sangiovanni is a robotics researcher whose work focuses on the development of innovative control systems for legged rovers designed for planetary exploration. Their major contributions lie in the application of biologically-inspired artificial neural networks to solve complex locomotion challenges in unstructured extraterrestrial environments. Sangiovanni’s most influential work, the 2006 paper "Realization and control of a prototype of legged rover for planetary exploration" (12 citations), details the construction of a six-legged robot prototype that serves as a testbed for a novel control technique. This work is complemented by their 2004 paper (4 citations), which introduces a method for realizing rover control systems using dynamical recurrent artificial neural networks (CTRNNs) evolved through evolutionary algorithms. By embedding these adaptive controllers directly into the robot’s hardware, Sangiovanni’s research demonstrates a pioneering approach to creating robust, autonomous locomotion systems that can adapt to unknown terrains without pre-programmed instructions. This work represents a significant step toward enabling future space missions to explore challenging planetary surfaces with greater autonomy and reliability.
Research Focus
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Top Papers
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