Renato Gasoto
Papers
5
Total Citations
104
H-Index
4
About
Renato Gasoto is a leading researcher in soft robotics, with a primary focus on bio-inspired snake robots for search-and-rescue applications. His work bridges the critical gap between simulation and reality, developing validated physical models that enable real-time, multiphysics simulation of soft robotic actuators—a foundational contribution that has earned his 2019 paper 13 citations. Gasoto’s most impactful work, “Design, Analysis, and Real-Time Simulation of a 3D Soft Robotic Snake” (2022, 49 citations), demonstrates a complete pipeline from design to control for slender, terrain-adaptive robots. He has pioneered the integration of reinforcement learning with central pattern generator (CPG) architectures to achieve adaptive goal-tracking locomotion in soft snake robots, as shown in his 2020 paper (34 citations). More recently, he has tackled the sim-to-real gap in omnidirectional mobile robots (2024), ensuring that simulation models faithfully represent real-world dynamics. Gasoto’s research is notable for its end-to-end approach—from mechanical design and manufacturing to neural-network-based control—making him a key figure in advancing deployable, intelligent soft robots for challenging environments.
Research Focus
Key Achievements
Top Papers
- 1Design, Analysis, and Real-Time Simulation of a 3D Soft Robotic Snake49 citations · 2022
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- 3A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes13 citations · 2019
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