TY - JOUR
T1 - Study on automatic attachment switching technology used for emergency rescue equipment
AU - Li, Wei
AU - Liu, Jiachen
AU - Wang, Jingjie
AU - Ibrahim, Ahmed Mohamed Mahmoud
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - To tackle the challenge of low efficiency in switching attachments for emergency rescue equipment, this paper proposes an automatic attachment switching integrated technical framework based on a streamlined three-stage, five-step switching strategy, an AprilTag-based method for acquiring attachment pose and segmented trajectory planning. To meet the rapid switching requirements of emergency rescue equipment attachment, the automatic attachment switching process is divided into three stages (Attachment Disassembly, Location Searching, and Attachment Assembly), which are further divided into five sequential steps. The rapid automatic attachment pose acquisition is achieved through AprilTag. A kinematic model of a 7-degree-of-freedom (7-DOF) redundant mechanical arm for emergency rescue equipment is established using the Modified Denavit-Hartenberg (MDH) method. The relationship between hydraulic cylinder position and joint angle is derived. The inverse kinematics of the mechanical arm is addressed through the gradient projection method, optimizing the process to circumvent joint limits. Given the necessity for trajectory smoothness in the efficient switching of large hydraulic mechanical arms, the motion characteristics of each step are thoroughly analyzed, leading to the development of a smooth segmented trajectory planning scheme. Simulation and experimental validation of the proposed automatic attachment switching technology demonstrate its capability to achieve swift and precise switching between the bucket and gripper, with an impressive average switching time of just 14.35 s. The findings of this research offer crucial theoretical insights for designing trajectory planning strategies for emergency rescue equipment, significantly enhancing the operational capabilities in emergency rescue situations.
AB - To tackle the challenge of low efficiency in switching attachments for emergency rescue equipment, this paper proposes an automatic attachment switching integrated technical framework based on a streamlined three-stage, five-step switching strategy, an AprilTag-based method for acquiring attachment pose and segmented trajectory planning. To meet the rapid switching requirements of emergency rescue equipment attachment, the automatic attachment switching process is divided into three stages (Attachment Disassembly, Location Searching, and Attachment Assembly), which are further divided into five sequential steps. The rapid automatic attachment pose acquisition is achieved through AprilTag. A kinematic model of a 7-degree-of-freedom (7-DOF) redundant mechanical arm for emergency rescue equipment is established using the Modified Denavit-Hartenberg (MDH) method. The relationship between hydraulic cylinder position and joint angle is derived. The inverse kinematics of the mechanical arm is addressed through the gradient projection method, optimizing the process to circumvent joint limits. Given the necessity for trajectory smoothness in the efficient switching of large hydraulic mechanical arms, the motion characteristics of each step are thoroughly analyzed, leading to the development of a smooth segmented trajectory planning scheme. Simulation and experimental validation of the proposed automatic attachment switching technology demonstrate its capability to achieve swift and precise switching between the bucket and gripper, with an impressive average switching time of just 14.35 s. The findings of this research offer crucial theoretical insights for designing trajectory planning strategies for emergency rescue equipment, significantly enhancing the operational capabilities in emergency rescue situations.
KW - Attachment switching
KW - Emergency rescue equipment
KW - Mechanical arm
KW - Trajectory planning
UR - https://www.scopus.com/pages/publications/105012732309
UR - https://www.scopus.com/pages/publications/105012732309#tab=citedBy
U2 - 10.1007/s41315-025-00483-x
DO - 10.1007/s41315-025-00483-x
M3 - Article
AN - SCOPUS:105012732309
SN - 2366-5971
JO - International Journal of Intelligent Robotics and Applications
JF - International Journal of Intelligent Robotics and Applications
ER -