An overview of an enhanced multi-systems robotized digitizing

ABSTRACTRobots were commonly used for repetitive tasks, but to date they can handle more demanding processes like digitizing. Using a robot gives many advantages even though they still have a lack of accuracy when following a path. This paper focuses on an optimization strategy to get the best quality or/and speed for 3D digitization supported by a robot. In this way, a path planning algorithm is introduced based on the exploitation of robot and digitizing sensor performances. In order to define the robot calibration and its performances assessment, an original adapted model is investigated. An optimization step is integrated to the path planning algorithm in order to identify the best path (regarding the digitizing quality and time) among a set of admissible one. Finally the implementation of the selected path planning is carried out and the robot is monitored by an external measurement system in charge to correct this path to ensure the quality of digitizing.

[1]  J. Angeles,et al.  The Kinetostatic Optimization of Robotic Manipulators: The Inverse and the Direct Problems , 2006 .

[2]  Charyar Mehdi-Souzani,et al.  A knowledge database of qualified digitizing systems for the selection of the best system according to the application , 2016 .

[3]  Sören Larsson,et al.  Motion control and data capturing for laser scanning with an industrial robot , 2006, Robotics Auton. Syst..

[4]  Bahram Ravani,et al.  An overview of robot calibration , 1987, IEEE Journal on Robotics and Automation.

[5]  John M. Hollerbach,et al.  A survey of kinematic calibration , 1989 .

[6]  Daniel E. Whitney,et al.  Industrial Robot Forward Calibration Method and Results , 1986 .

[7]  A. Liegeois,et al.  Automatic supervisory control of the configuration and behavior of multi-body mechanisms , 1977 .

[8]  Carmelo Mineo,et al.  Robotic path planning for non-destructive testing – A custom MATLAB toolbox approach , 2016 .

[9]  Taejung Kim,et al.  Toolpath generation along directions of maximum kinematic performance; a first cut at machine-optimal paths , 2002, Comput. Aided Des..

[10]  Jorge Santolaria,et al.  3D Geometrical Inspection of Complex Geometry Parts Using a Novel Laser Triangulation Sensor and a Robot , 2011, Sensors.

[11]  Lisandro J. Puglisi,et al.  Performance indices for robotic manipulators: a review of the state of the art , 2012 .

[12]  Morris R. Driels,et al.  Generalized joint model for robot manipulator kinematic calibration and compensation , 1987, J. Field Robotics.

[13]  Giovanna Sansoni,et al.  State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation , 2009, Sensors.

[14]  Jorge Santolaria,et al.  Modelling and Calibration Technique of Laser Triangulation Sensors for Integration in Robot Arms and Articulated Arm Coordinate Measuring Machines , 2009, Sensors.

[15]  Xuan F. Zha,et al.  Optimal pose trajectory planning for robot manipulators , 2002 .

[16]  A. Olabi,et al.  Improving the accuracy of industrial robots by offline compensation of joints errors , 2012, 2012 IEEE International Conference on Industrial Technology.

[17]  Luo Fei,et al.  An Overview of Robot Calibration , 2004 .

[18]  Samad Hayati,et al.  Robot arm geometric link parameter estimation , 1983, The 22nd IEEE Conference on Decision and Control.

[19]  J. Denavit,et al.  A kinematic notation for lower pair mechanisms based on matrices , 1955 .

[20]  Eberhard Abele,et al.  Modeling and Identification of an Industrial Robot for Machining Applications , 2007 .

[21]  R. Saltaren,et al.  Ìndices de Desempeño de Robots Manipuladores, una revisión del Estado del Arte , 2012 .

[22]  Wisama Khalil,et al.  Geometric Calibration of Robots with Flexible Joints and Links , 2002, J. Intell. Robotic Syst..

[23]  Laurent Dubourg,et al.  Impact & improvement of tool deviation in friction stir welding , 2016 .

[24]  Jean-François Brethé,et al.  A stochastic ellipsoid approach to repeatability modelisation of industrial manipulator robots , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[25]  Damien Chablat,et al.  Enhanced stiffness modeling of manipulators with passive joints , 2011, ArXiv.

[26]  Tsuneo Yoshikawa,et al.  Manipulability of Robotic Mechanisms , 1985 .

[27]  G. Gogu,et al.  Rigidity analysis of T3R1 parallel robot with uncoupled kinematics , 2004 .

[28]  J. J. Uicker,et al.  A Generalized Symbolic Notation for Mechanisms , 1971 .

[29]  Jorge Santolaria,et al.  Laser tracker-based kinematic parameter calibration of industrial robots by improved CPA method and active retroreflector , 2013 .

[30]  Peter Corke,et al.  High-Performance Visual Closed-Loop Robot Control , 1994 .

[31]  Wisama Khalil,et al.  A new geometric notation for open and closed-loop robots , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.