TY - GEN
T1 - Design and Analysis of Self-Deployable Robotic Gripper for Rapid and Large-Scale Object Grasping
AU - Wang, Wei
AU - Li, Xu
AU - Yan, Peng
AU - Huang, Hailin
AU - Li, Bing
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Deployable robotic grippers play a critical role in large-scale object grasping tasks. This paper proposes a scissor mechanism-based deployable robotic gripper with four identical deployable fingers, each made up of eight polar units connected end-to-end. The gripper achieves self-deployment by integrating elastic units, allowing it to quickly switch from a folded configuration that facilitates storage and transportation to a deployed configuration suitable for grasping large-scale objects. This self-deployment design simplifies the driving system and reduces overall weight. Experiments involving the grasping of large-scale objects such as a cylinder, a cube, and a basketball have demonstrated the gripper's excellent performance in shape adaptability, deployment speed, and grasping capability. The proposed design shows great potential for large-scale object grasping and other scenarios requiring rapid and efficient operations.
AB - Deployable robotic grippers play a critical role in large-scale object grasping tasks. This paper proposes a scissor mechanism-based deployable robotic gripper with four identical deployable fingers, each made up of eight polar units connected end-to-end. The gripper achieves self-deployment by integrating elastic units, allowing it to quickly switch from a folded configuration that facilitates storage and transportation to a deployed configuration suitable for grasping large-scale objects. This self-deployment design simplifies the driving system and reduces overall weight. Experiments involving the grasping of large-scale objects such as a cylinder, a cube, and a basketball have demonstrated the gripper's excellent performance in shape adaptability, deployment speed, and grasping capability. The proposed design shows great potential for large-scale object grasping and other scenarios requiring rapid and efficient operations.
UR - https://www.scopus.com/pages/publications/105018328238
U2 - 10.1109/CYBER67662.2025.11168334
DO - 10.1109/CYBER67662.2025.11168334
M3 - 会议稿件
AN - SCOPUS:105018328238
T3 - 15th IEEE International Conference on CYBER Technology in Automation, Control and Intelligent Systems, CYBER 2025
SP - 242
EP - 246
BT - 15th IEEE International Conference on CYBER Technology in Automation, Control and Intelligent Systems, CYBER 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on CYBER Technology in Automation, Control and Intelligent Systems, CYBER 2025
Y2 - 15 July 2025 through 18 July 2025
ER -