Grasp Analysis for the Robot-Based Manipulation of Pre-Assembled Cables with Electrical Connectors

The mounting of pre-assembled cables with electrical connectors is mainly carried out manually in industry today. An exemplary application is the interconnection of battery modules. Automation of such assembly tasks offers the potential for increasing efficiency but requires the design of suitable gripper systems. This is challenging as the cable induces state-dependent forces and torques on the gripper system, which must be transmitted via the complex surface geometries of the plugs. Currently, the required grasp force cannot be determined in advance but only after prototypes have been manufactured and with elaborate physical experiments. To overcome these drawbacks, we present a methodology for the grasp analysis of pre-assembled cables with electrical connectors. The novelty of this approach is to combine a physics simulation for deformable linear objects with a contact model for non-planar grasping surfaces. The results indicate that the cable deformation significantly affects the required grasp force. In addition, each combination of contact surface and dynamic cable deformation results in an individual grasp force course. The methodology enables comparison of different electrical connectors and their grasping surfaces, as well as cables and their manipulation paths, efficiently and with little expert knowledge.

[1]  R. Daub,et al.  Automatic Image Generation Pipeline for Instance Segmentation of Deformable Linear Objects , 2023, Sensors.

[2]  Hongwang Du,et al.  Computer-assisted assembly process planning for the installation of flexible cables modeled according to a viscoelastic Cosserat rod model , 2022, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture.

[3]  J. Stork,et al.  Learning differentiable dynamics models for shape control of deformable linear objects , 2022, Robotics Auton. Syst..

[4]  Wei Ji,et al.  Contact force modeling and variable damping impedance control of apple harvesting robot , 2022, Comput. Electron. Agric..

[5]  Daolin Ma,et al.  6DLS: Modeling Nonplanar Frictional Surface Contacts for Grasping Using 6-D Limit Surfaces , 2021, IEEE Transactions on Robotics.

[6]  Hyungpil Moon,et al.  Tolerance dataset: mating process of plug-in cable connectors for wire harness assembly tasks , 2020, Intell. Serv. Robotics.

[7]  Haitao Wang,et al.  A review: virtual assembly of flexible cables based on physical modeling , 2019, Assembly Automation.

[8]  Pierre Payeur,et al.  Multi-Modal Sensing and Robotic Manipulation of Non-Rigid Objects: A Survey , 2018, Robotics.

[9]  Belhassen-Chedli Bouzgarrou,et al.  Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey , 2018, Int. J. Robotics Res..

[10]  Jae-Bok Song,et al.  Electric connector assembly based on vision and impedance control using cable connector-feeding system , 2017 .

[11]  Rikard Söderberg,et al.  Automatic routing of flexible 1D components with functional and manufacturing constraints , 2016, Comput. Aided Des..

[12]  Yu Sun,et al.  Grasp planning to maximize task coverage , 2015, Int. J. Robotics Res..

[13]  Rikard Söderberg,et al.  Automatic assembly path planning for wiring harness installations , 2013 .

[14]  Stefan Hesse,et al.  Greifertechnik: Effektoren für Roboter und Automaten , 2011 .

[15]  O. Khatib,et al.  Springer Handbook of Robotics , 2008 .

[16]  Peter K. Allen,et al.  Graspit! A versatile simulator for robotic grasping , 2004, IEEE Robotics & Automation Magazine.

[17]  Dean Zhao,et al.  Grasping mode analysis and adaptive impedance control for apple harvesting robotic grippers , 2021, Comput. Electron. Agric..

[18]  Xiaolong Feng,et al.  Finger design automation for industrial robot grippers: A review , 2017, Robotics Auton. Syst..

[19]  H. Hertz Ueber die Berührung fester elastischer Körper. , 1882 .