Robotic workcell for sole grasping in footwear manufacturing

The goal of this paper is to present a robotic workcell to automate several tasks of the cementing process in footwear manufacturing. Our cell’s main applications are sole digitization of a wide variety of footwear, glue dispensing and sole grasping from conveyor belts. This cell is made up of a manipulator arm endowed with a gripper, a conveyor belt and a 3D scanner. We have integrated all the elements into a ROS simulation environment facilitating control and communication among them, also providing flexibility to support future extensions. We propose a novel method to grasp soles of different shape, size and material, exploiting the particular characteristics of these objects. Our method relies on object contour extraction using concave hulls. We evaluate it on point clouds of 16 digitized real soles in three different scenarios: concave hull, k-NNs extension and PCA correction. While we have tested this workcell in a simulated environment, the presented system’s performance is scheduled to be tested on a real setup at INESCOP facilities in the upcoming months.

[1]  David G. Lowe,et al.  Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration , 2009, VISAPP.

[2]  Maolin Jin,et al.  Robot-based Shoe Manufacturing System , 2018, 2018 18th International Conference on Control, Automation and Systems (ICCAS).

[3]  Chih-Hsing Chu,et al.  A virtual try-on system in augmented reality using RGB-D cameras for footwear personalization , 2014 .

[4]  Carlos Perez-Vidal,et al.  Robotic manipulation for the shoe-packaging process , 2017 .

[5]  Radu Bogdan Rusu,et al.  3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.

[6]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[7]  José García Rodríguez,et al.  GNG based foot reconstruction for custom footwear manufacturing , 2016, Comput. Ind..

[8]  Jorge Pomares,et al.  Fast geometry-based computation of grasping points on three-dimensional point clouds , 2019 .

[9]  Alberto Tellaeche,et al.  Robotic solutions for Footwear Industry , 2012, Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012).

[10]  Riccardo Russo,et al.  A vision guided robotic system for flexible gluing process in the footwear industry , 2020, Robotics Comput. Integr. Manuf..

[11]  Vimal Dhokia,et al.  Manufacturing methodology for personalised symptom-specific sports insoles , 2009 .

[12]  Michele Germani,et al.  Cyber-physical system integration for industry 4.0: Modelling and simulation of an induction heating process for aluminium-steel molds in footwear soles manufacturing , 2017, 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).

[13]  David P. Dobkin,et al.  The quickhull algorithm for convex hulls , 1996, TOMS.

[14]  António Paulo Moreira,et al.  Increasing flexibility in footwear industrial cells , 2014, 2014 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC).

[15]  Yan Luximon,et al.  Shoe-last design innovation for better shoe fitting , 2009, Comput. Ind..

[16]  Zhongxu Hu,et al.  Automatic surface roughing with 3D machine vision and cooperative robot control , 2007, Robotics Auton. Syst..

[17]  David G. Kirkpatrick,et al.  On the shape of a set of points in the plane , 1983, IEEE Trans. Inf. Theory.