Vision-Based Grasping and Manipulation of Flexible USB Wires

The USB wires are commonly used in many 3C products (Computer, Communication and Consumer electronics), such as smartphones, laptops, and tablets. The demand for manufacturing and soldering USB wires is now increasing significantly as the rapidly expanding 3C market However, because of the small size and the deformation property of USB wires, current soldering procedures are heavily dependent on manual works. There are three steps to solder the USB wires: Separating, Sorting, and Pressing. In this paper, it mainly deals with wire sorting and pressing tasks after the wire separation. Vision feedback is applied to the sorting task and it also assesses the status of completion. The developed grasping and manipulation algorithm have the advantage of highly autonomous capability, in sense that no human assistance or supervision is required throughout the procedure. Moreover, it has a certain level of intelligence, the actual operation sequence is not completely fixed, it is based on the principle of the minimum distance between the position of the grasping point and the position of soldering groove, which will improve the overall efficiency.

[1]  N. Sarkar,et al.  Toward a Robot-Assisted Breast Intervention System , 2011, IEEE/ASME Transactions on Mechatronics.

[2]  Yunhui Liu,et al.  Automatic 3-D Manipulation of Soft Objects by Robotic Arms With an Adaptive Deformation Model , 2016, IEEE Transactions on Robotics.

[3]  Yunhui Liu,et al.  On the visual deformation servoing of compliant objects: Uncalibrated control methods and experiments , 2014, Int. J. Robotics Res..

[4]  Masayoshi Tomizuka,et al.  A Framework for Manipulating Deformable Linear Objects by Coherent Point Drift , 2018, IEEE Robotics and Automation Letters.

[5]  Xiang Li,et al.  Global task-space adaptive control of robot , 2013, Autom..

[6]  Jean-Jacques E. Slotine,et al.  Performance in Adaptive Manipulator Control , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

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

[8]  Xiang Li,et al.  Task-Space Sensory Feedback Control of Robot Manipulators , 2015 .

[9]  Jean-Jacques E. Slotine,et al.  Adaptive manipulator control: A case study , 1988 .

[10]  Yun-Hui Liu,et al.  Fourier-Based Shape Servoing: A New Feedback Method to Actively Deform Soft Objects into Desired 2-D Image Contours , 2018, IEEE Transactions on Robotics.

[11]  Yunhui Liu,et al.  Model-Free Visually Servoed Deformation Control of Elastic Objects by Robot Manipulators , 2013, IEEE Transactions on Robotics.

[12]  Suguru Arimoto,et al.  A New Feedback Method for Dynamic Control of Manipulators , 1981 .

[13]  André Crosnier,et al.  Dual-arm robotic manipulation of flexible cables , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[14]  Lydia E. Kavraki,et al.  Path planning for deformable linear objects , 2006, IEEE Transactions on Robotics.

[15]  Mitul Saha,et al.  Manipulation Planning for Deformable Linear Objects , 2007, IEEE Transactions on Robotics.