Abstract: This paper proposes a hierarchical framework for path planning and tracking control in autonomous vehicles, ensuring safe navigation and obstacle avoidance. The planning module combines ...
This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.
The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results