Abstract: This paper proposes a path planning algorithm using the hybridization of the rapidly-exploring random tree (RRT) and ant colony system (ACS) algorithms. The RRT algorithm can quickly ...

What a difference a few years makes. In 2021, the disability community rejoiced when independent assessments — a controversial set of reforms spearheaded by the Coalition — were declared "dead". Labor ...

Rivers are Earth’s arteries. Water, sediment and nutrients self-organize into diverse, dynamic channels as they journey from the mountains to the sea. Some rivers carve out a single pathway, while ...

1 School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China. 2 School of Vocational Education, Tianjin University of Technology and Education, ...

These include such learning paradigms as Q-Learning and the Deep Q-Networks setups. Reinforcement Learning paradigms essentially aim at teaching robots to undertake certain actions that will be used ...

Your browser does not support the audio element. (1) Aya Kherrour, Department of Information Engineering and Computer Science University of Trento; (2) Marco Robol ...

In this paper, we present a place cell based path planning algorithm that utilizes spiking neural network (SNN) to create efficient routes for drones. First, place cells are characterized by the leaky ...

Path planning plays an essential role in mobile robot navigation, and the A* algorithm is one of the best-known path planning algorithms. However, the traditional A* algorithm has some limitations, ...