Search Results

The path-planning algorithms for autonomous mobile robot navigation are crucial, often relying on sampling-based methods. RRT* is a robust, sampling-based path planning algorithm. The sampling process in RRT* plays a pivotal role, where uniform ...

• A hybrid sampling method is proposed that combines uniform and non-uniform sampling.
• A novel goal-directed strategy is proposed for the selection of non-uniform samples.
• A random selection method is proposed to trade off non-...

• This paper designs a time window-based initial solution scheme to improve the quality of the initial population.
• We introduce a tabu search strategy to balance the global and local search performance of the algorithm.
• We adopted a ...

This article aims to solve the problems of high cost, low efficiency, and task delay caused by the lack of scientific scheduling strategies during the agricultural harvest season. Considering the constraints of operation time windows, a ...

Efficient and accurate path planning in a complex biological environment have become a challenge for nanorobot research. This paper first reviews the current path planning algorithms that can be used in the operation of nanorobots in the ...

The main task of mobile robot path planning is: according to the environment model, the mobile robot is based on one or some optimization criteria: such as the minimum work cost, the shortest walking route, the shortest walking time, etc., to find a ...

Mobile robot navigation is a method of guiding a robot to accomplish a mission through an environment with obstacles in a good and safe manner. The main challenge of current mobile robotics is to develop intelligent navigation systems, where autonomous ...