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.
GPT-5.4 expands the context window to 1 million tokens; the larger limit supports longer coding and research sessions.
Abstract: Enhancing the resilience of networked microgrids (NMGs) through model predictive control-based vehicle-to-grid (V2G) strategies faces a key challenge due to the lack of real-time perception ...
Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results