Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

Sampling-based motion planning is one of the fundamental paradigms to generate robot
motions, and a cornerstone of robotics research. This comparative review provides an up-to …

A defining feature of sampling-based motion planning is the reliance on an implicit
representation of the state space, which is enabled by a set of probing samples …

Path planning in robotics often requires finding high-quality solutions to continuously valued
and/or high-dimensional problems. These problems are challenging and most planning …

Building general-purpose robots that can operate seamlessly, in any environment, with any
object, and utilizing various skills to complete diverse tasks has been a long-standing goal in …

Motion planning is a fundamental problem in autonomous robotics that requires finding a
path to a specified goal that avoids obstacles and takes into account a robot's limitations and …

Aerial cinematography is revolutionizing industries that require live and dynamic camera
viewpoints such as entertainment, sports, and security. However, safely piloting a drone …

There are many challenges for robot navigation in densely populated dynamic
environments. This paper presents a survey of the path planning methods for robot …

Abstract Rapidly exploring Random Tree Star (RRT*) has gained popularity due to its
support for complex and high-dimensional problems. Its numerous applications in path …

Sampling-based motion planners have experienced much success due to their ability to
efficiently and evenly explore the state space. However, for many tasks, it may be more …