Motion Planning of Mobile Manipulator for Navigation Including Door Traversal

Door traversal is an essential task for a mobile manipulator to achieve autonomous navigation in indoor environment. However, it remains challenging since it requires the coupled motion of the robot and door and is composed of several sub-problems such as approaching, opening, passing through, and c...

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Bibliographic Details
Published in:IEEE robotics and automation letters 2023-07, Vol.8 (7), p.1-8
Main Authors: Jang, Keunwoo, Kim, Sanghyun, Park, Jaeheung
Format: Article
Language:English
Subjects:
Autonomous navigation
Collision avoidance
Computation
Configurations
Indoor environments
Inverse kinematics
Manipulators
Mobile manipulator
Mobile robots
Motion planning
Navigation
Planning
Robot dynamics
Robots
Search algorithms
Task analysis
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Summary:Door traversal is an essential task for a mobile manipulator to achieve autonomous navigation in indoor environment. However, it remains challenging since it requires the coupled motion of the robot and door and is composed of several sub-problems such as approaching, opening, passing through, and closing the door. This paper proposes a planning framework that formulates these sub-problems as a single problem and computes a path for the mobile manipulator to navigate from the initial position, traverse through the door, and arrive at the target position. The proposed framework obtains the path of the whole-body configuration in two steps. First, the path for the pose of the mobile robot and the path for the door angle are computed by using the graph search algorithm. In graph search, an integer variable called area indicator is introduced as an element of state, which indicates where the robot is located relative to the door. Especially, the area indicator expresses a process of door traversal. In the second step, the configuration of the manipulator is computed by the Inverse Kinematics (IK) solver from the path of the mobile robot and door angle. The proposed framework has a distinct advantage over the existing methods that manually determine several parameters such as which direction to approach the door and the angle of the door required for passage. The effectiveness of the proposed framework was validated through experiments with a nonholonomic mobile manipulator.
ISSN:2377-3766
2377-3766
DOI:10.1109/LRA.2023.3279612