This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

COLUMBIA, MD, UNITED STATES, February 3, 2026 /EINPresswire.com/ -- Stanford Oliver, CEO of DigiFlight, Camelot Secure, ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

The field of supply chain, manufacturing, warehouse, and building evacuation optimization has undergone transformative changes with the integration of artificial intelligence (AI) and simulation ...

A neural network is a machine learning model originally inspired by how the human brain works (Courtesy: Shutterstock/Jackie Niam) Precision measurements of theoretical parameters are a core element ...

1 School of Economics and Management, Jiangxi Normal University, Nanchang, China. 2 Research Center for Management Science and Engineering, Jiangxi Normal University, Nanchang, China. 3 School of ...

Using data from ten healthy adults, we trained a Gradient Boosting (GB) surrogate model to predict normalized metabolic cost as a function of Peak Magnitude and End ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...