AZoRobotics on MSN
New analytical method makes hybrid soft-rigid robot simulations up to 1000× faster
This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.
PhD scholarship on an exciting project in collaboration with Network Rail on the development of next-generation finite element models for fatigue analysis of riveted railway bridges.
Abstract: This study aimed at comparing the rate of convergence and performance of Newton-Raphson and Regula-Falsi method for solving the nonlinear equations. To solve nonlinear equations, two ...
Abstract: In environmental modeling, the impact of fixed scatterers on the background environment can be effectively accounted for by using numerical Green's functions (NGF), which significantly ...
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