Solution also includes a new COM/Python API that exposes the simulation engine to external automation, the company explains..

Robust Reinforcement Learning-based model for UAV self-separation under Uncertainty. Hybrid; Amsterdam , Noord-Holland , Netherlands; Aerosp ...

It exposes Simulink context as deterministic, machine-readable tool outputs. It lets AI reason on real model topology/parameters instead of screenshots. It keeps workflows real-time and ...

Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

Abstract: Deep Reinforcement Learning for complex control problems is often constrained by the computational cost of training, which depends heavily on the simulation environment. This paper presents ...

Abstract: A method for motion simulation using the collaboration of Matlab and ROS to achieve higher simulation fidelity was applied to the pre-test simulation of vehicles. The main concepts of the ...

A full-stack web application simulating a food spoilage detection system using multi-gas sensors (NH3, H2S, TMA, DMS) with real-time LED indicators and breadboard-style circuit visualization.

1 Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Melaka Malaysia, Melaka, Malaysia. 2 Institut Matematik Kejuruteraan (IMK), Universiti Malaysia Perlis (UniMAP), Perlis, ...