The research of mobile robot path planning has shifted from the static environment to the
dynamic environment, from the two-dimensional environment to the high-dimensional …

The artificial bee colony (ABC) is a well-studied algorithm developed to solve continuous
function optimization problems by Karboga and Akay in 2009. ABC has been proven to be …

Autonomous mission capabilities with optimal path are stringent requirements for
Unmanned Aerial Vehicle (UAV) navigation in diverse applications. The proposed research …

USVs have emerged as effective instruments in a wide range of maritime applications,
including environmental monitoring and search-and-rescue missions. The surge in their …

Robot path planning is one of the most challenging tasks in robotics. Various nature-inspired
algorithms are available for robot path planning, but here we have considered the ACO …

Path planning is an important problem in the field of unmanned aerial vehicles (UAVs).
However, it is inefficient for many rapidly-exploring random tree (RRT) based methods to …

In recent years, researchers have paid attention to algorithms inspired by nature where
these algorithms have proven their efficiency in solving many optimization problems …

The Tactile Internet (TI) can be regarded as the next evolution in the world of
communication. With its envisioned purpose and potential in shaping up the economy …

In the modern world of high-speed technologies, where every operation needs to be
performed instantaneously and more efficiently, scientists and engineers have created a …

Recent industrial automation is focusing on integration of intelligence to mobile robots to
enhance their decision making capability. Mobile robot path planning is an example of …