Toroidal Robot

Toroidal robots, encompassing both physical and abstract representations, are a focus of current research across diverse fields. Studies explore their design and control for applications like navigating confined spaces (using soft, everting designs) and optimizing magnetic field configurations in fusion reactors (via Bayesian optimization of coil shapes). Significant effort is dedicated to developing and applying advanced mathematical models, including neural networks and techniques from algebraic topology and differential geometry, to analyze their behavior and optimize performance. These investigations are advancing both our understanding of complex systems and enabling the development of novel robotic technologies with potential applications in energy production and other challenging environments.