AZoMining on MSN
RRT* algorithm enhances path planning and obstacle avoidance in deep-sea mining vehicles
This study presents an enhanced RRT* algorithm for deep-sea mining vehicles, improving path planning and obstacle avoidance ...
Abstract: As the application of robotic technology in complex environments continues to expand, efficient path planning algorithms have become crucial. AM-RRT*, a variant of the rapidly exploring ...
Deep Learning with Yacine on MSN
RMSProp optimization from scratch in Python
Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
Abstract: In complex and narrow environments, mobile robots usually face significant challenges when performing path planning tasks, as evidenced by long search times and low success rates. This paper ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results