Ant colony algorithm is an intelligent optimization algorithm that is widely used in path
planning for mobile robot due to its advantages, such as good feedback information, strong …

As a challenging optimization problem, path planning for mobile robot refers to searching an
optimal or near-optimal path under different types of constrains in complex environments. In …

The rapid development of new technologies such as automatic control technology, sensor
technology, and artificial intelligence (AI) has contributed to the development of unmanned …

A global path planning method is proposed based on improved ant colony optimization
according to the slow convergence speed in mobile service robot path planning. The …

Unmanned aerial vehicles (UAVs) have been widely used in many applications due to its
small size, swift mobility and low cost. Therefore, the study of guidance, navigation and …

In this paper, an adaptive improved ant colony algorithm based on population information
entropy (AIACSE) is proposed to improve the optimization ability of the algorithm. The …

In order to solve the problem of insufficient search ability of the unmanned surface vehicle
(USV) collision avoidance planning algorithm, this paper proposes an improved ant colony …

The problem of determining a collision free path within a region is an important area of
research in robotics. One significant aspect of this problem is coverage path planning, which …

A dynamic path planning method based on a gated recurrent unit-recurrent neural network
model is proposed for the problem of path planning of a mobile robot in an unknown space …

Due to the probabilistic completeness and asymptotic optimality, the RRT* algorithm can find
sub-optimal solutions and solve path planning problems effectively compared with other …