Towards intelligent object handling: an advanced end-effector for integrated bin-picking and assembly of electrical components

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Authors: Evangelos Andronas, Vasilis Mavroeidis, Giorgos Papadopoulos, Apostolis Papavasileiou, Sotiris Makris
Cited by: 1
References: 30

Abstract

Abstract Despite the ongoing transformation of the industrial automation in the electrical and electronics sector, the assembly of electrical cabinets remains a highly manual process mainly due to the variability of the electrical components, the unstructured environments within the storage containers and the reliance on operator expertise to correctly identify and place each component. This paper addresses these challenges by introducing a novel robotic gripper designed for both sorting, in-hand manipulation and assembly of electrical components of various sizes, weights, and shapes. The gripper features functionalities of both vacuum and parallel grasping for sorting parts of clustered scenes and assembling the components onto the panel board. In parallel, a custom-built piezo-resistive pressure sensor has been developed and integrated on the gripper that identifies the positional accuracy of the electrical components when grasped. This information is then used to precisely guide the manipulator during the assembly phase. The performance of the proposed design is evaluated in a case study derived from the elevator manufacturing industry. Overall, the gripper shows prominent results by eliminating the need for excess tool changes, improving the cycle time of the process, reducing human involvement in a repetitive task that requires expertise by the human operator to perform the assembly, and improving the perception capabilities of the robotic system, enhancing efficiency and productivity.

Fields of Study & Subjects

Robot Manipulation and Learning Soft Robotics and Applications Power Line Inspection Robots

Publication details

Journal / source
The International Journal of Advanced Manufacturing Technology
Publisher
Springer Science and Business Media LLC
Volume
142
Issue
11-12
Pages
5967–5991
Publication date
28 January 2026
Language
EN