Artificial bee colony (ABC) is a prominent algorithm that offers great exploration capabilities
among various meta-heuristic algorithms. However, its monotonous and one-dimensional …

Building a general and efficient path planning framework in uncertain nonconvex
environments is challenging due to the safety constraints and complex configuration …

This work proposes an online collaborative hunting strategy for multi-robot systems based
on obstacle-avoiding Voronoi cells in a complex dynamic environment. This involves firstly …

Deep learning significantly impacts neural network controller synthesis. Despite the higher
efficiency of deep learning algorithms compared to traditional model-based controller design …

The scientific community is able to present a new set of solutions to practical problems that
substantially improve the performance of modern technology in terms of efficiency and …

Objective Because of interference from dynamic objects, the traditional simultaneous
localization and mapping (SLAM) framework execute poorly while operational in a dynamic …

In this paper, an efficient motion planning approach with grid-based generalized Voronoi
diagrams (G VD) is newly proposed for mobile robots. Different from existing approaches …

Trading off the allocation of limited computational resources between front-end path
generation and back-end trajectory optimization plays a key role in improving the efficiency …

When determining navigation actions, it is important to design effective visual and semantic
representations of the observation scenes and robust navigation strategies. The paper …

In the 3-D path planning, the undulation of terrain have a significant impact on the roll angle
of autonomous vehicle (AV). However, the existing 3-D path planning methods rarely …