Path planning for autonomous mobile robots: A review
JR Sanchez-Ibanez, CJ Pérez-del-Pulgar… - Sensors, 2021 - mdpi.com
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 …
dispense with the intervention of human operators, which may prove beneficial in economic …
Sampling-based motion planning: A comparative review
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 …
motions, and a cornerstone of robotics research. This comparative review provides an up-to …
Learning sampling distributions for robot motion planning
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 …
representation of the state space, which is enabled by a set of probing samples …
Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search
JD Gammell, TD Barfoot… - … International Journal of …, 2020 - journals.sagepub.com
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 …
and/or high-dimensional problems. These problems are challenging and most planning …
Toward general-purpose robots via foundation models: A survey and meta-analysis
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 …
object, and utilizing various skills to complete diverse tasks has been a long-standing goal in …
Asymptotically optimal sampling-based motion planning methods
JD Gammell, MP Strub - Annual Review of Control, Robotics …, 2021 - annualreviews.org
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 …
path to a specified goal that avoids obstacles and takes into account a robot's limitations and …
Autonomous aerial cinematography in unstructured environments with learned artistic decision‐making
Aerial cinematography is revolutionizing industries that require live and dynamic camera
viewpoints such as entertainment, sports, and security. However, safely piloting a drone …
viewpoints such as entertainment, sports, and security. However, safely piloting a drone …
Mobile robot path planning in dynamic environments: A survey
There are many challenges for robot navigation in densely populated dynamic
environments. This paper presents a survey of the path planning methods for robot …
environments. This paper presents a survey of the path planning methods for robot …
Optimal path planning in cluttered environment using RRT*-AB
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 …
support for complex and high-dimensional problems. Its numerous applications in path …
Learning implicit sampling distributions for motion planning
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 …
efficiently and evenly explore the state space. However, for many tasks, it may be more …