As the key point for auto-navigation of mobile robot, path planning is a research hotspot in
the field of robot. Generally, the ant colony optimization algorithm (ACO) is one of the …

The use of reinforcement learning (RL) for dynamic obstacle avoidance (DOA) algorithms
and path planning (PP) has become increasingly popular in recent years. Despite the …

Due to their agility, cost-effectiveness, and high maneuverability, Unmanned Aerial Vehicles
(UAVs) have attracted considerable attention from researchers and investors alike. Path …

Voxel-based soft robots (VSRs) are a type of modular robots composed by interconnected
soft and deformable blocks, ie, voxels. Thanks to the softness of their bodies, VSRs may …

In order to solve the problems of the basic mayfly optimization algorithm (MOA) in the field of
robot path planning, such as slow convergence speed, poor accuracy, insufficient stability …

In recent years, autonomous mobile robots have significantly increased in prevalence due to
their ability to augment and diversify the workforce. One critical aspect of their operation is …

With the increasingly complex operating environment of mobile robots, the intelligent
requirements of robots are getting higher and higher. Navigation technology is the core of …

Abstract The Velocity Obstacle algorithm is one of the most popular and studied
decentralized trajectory planning methods for multi-agent systems moving in dynamic …

This paper proposes a path planning method for a nonholonomic mobile robot that takes
turnabouts on a narrow road. A narrow road is any space in which the robot cannot move …

In this study, an approach for generating the shortest-distance passage plan for a ship is
proposed considering the navigable area obtained based on automatic identification system …