Machine Vision builds up a significant role in the act of achieving an instantial near perfect
collision-free locomotion solution in AGV (Automated Guided Vehicle). For conservation of …

Summary Simultaneous Localization and Mapping (SLAM) is foremost for consistent
navigation with proficient recognition of possible obstacles by an Automated Guided Vehicle …

This book gives comprehensive insights into the application of AI, machine learning, and
deep learning in developing efficient and optimal surveillance systems for both indoor and …

With the continuous expansion of the use of mobile robots, providing them with autonomous
navigation capabilities for different environments has become a very active research topic. In …

This thesis is concerned with the data-driven solution to the optimal control problem with
safety constraints for a class of control-affine nonlinear systems. Designing optimal control …

Perception of a specified environment and a respective position of the mobile robot relative
to the indoor on-path obstacle are absolute necessary contexts for smooth way finding. V …

SLAM system using only point cloud has been proven successful in recent years. In most of
these systems, they extract features for tracking after ground removal, which causes large …

Today, with the increasing development of science and technology, many systems need to
be optimized to find the optimal solution of the system. this kind of problem is also called …

Forest management and clearing are crucial tasks in preventing wildfires, a common cause
of human and economical loss in countries such as Portugal. Furthermore, forest clearing …

LiDARs have attached much attention from both academics and industry due to their active
nature in measuring distance and robustness to lighting changes. The development of …