Paper Info
Title
Enhanced path smoothing based on conjugate gradient descent for firefighting robots in petrochemical complexes.
Abstract
The firefighting robot system (FFRS) comprises several autonomous robots that can be deployed to fire disasters in petrochemical complexes. For autonomous navigation, the path planner should consider the robot constraints and characteristics. Specifically, three requirements should be satisfied for a path to be suitable for the FFRS. First, the path must satisfy the maximum curvature constraint. Second, it must be smooth for robots to easily execute the trajectory. Third, it must allow reaching the target location in a specific heading. We propose a path planner that provides smooth paths, satisfy the maximum curvature constraint, and allows a suitable robot heading. The path smoother is based on the conjugate gradient descent, and three approaches are proposed for this path planner to meet all the FFRS requirements. The effectiveness of these approaches is qualitatively and quantitatively evaluated by examining the generated paths. Finally, the path planner is applied to an actual robot to verify the suitability of the generated paths for the FFRS, and planning is applied to another type of robot to demonstrate the wide applicability of the proposed planner.
Year
DOI
Venue
2019
10.1080/01691864.2019.1632221
ADVANCED ROBOTICS
Keywords
Field
DocType
Path smoothing,motion planning,mobile robot,autonomous ground vehicle,firefighting robot
Motion planning,Conjugate gradient method,Robotic systems,Fire - disasters,Control engineering,Smoothing,Engineering,Firefighting,Robot,Mobile robot
Journal
Volume
Issue
ISSN
33.0
14
0169-1864
Citations 
PageRank 
References 
2
0.40
0
Authors
9
Name
Order
Citations
PageRank
Naoki Mizuno140.80
Kazunori Ohno226440.48
Ryunosuke Hamada352.86
Hiroyoshi Kojima420.40
Jun Fujita520.40
Hisanori Amano6166.87
Thomas Westfechtel763.55
Takahiro Suzuki8223.14
Satoshi Tadokoro91014177.55