Force and vision-based system for robotic sealing monitoring

[1]  André J. Souza,et al.  Development of a computer vision-based system for part referencing in CNC machining centers , 2022, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

[2]  Longfei Zhou,et al.  Computer Vision Techniques in Manufacturing , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[3]  Asad Ali Shahid,et al.  Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks , 2021, IEEE Robotics and Automation Letters.

[4]  Régis Henrique Gonçalves e Silva,et al.  An adaptive orbital system based on laser vision sensor for pipeline GMAW welding , 2021, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

[5]  Yutong Fu,et al.  Evaluation of Key Performance of Aircraft Fabric Rubber Seal During Flight , 2021 .

[6]  Han Ding,et al.  Hybrid active/passive force control strategy for grinding marks suppression and profile accuracy enhancement in robotic belt grinding of turbine blade , 2021, Robotics Comput. Integr. Manuf..

[7]  Liping Zhao,et al.  Online Intelligent Evaluation of Dispensing Quality Based on Entropy Weight Fuzzy Comprehensive Evaluation Method and Machine Learning , 2020, 2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

[8]  Hideki Hashimoto,et al.  Friction and noise suppression for force control system based on integration of observer and force sensor information , 2020 .

[9]  Xifan Yao,et al.  Design and management of digital manufacturing and assembly systems in the Industry 4.0 era , 2019, The International Journal of Advanced Manufacturing Technology.

[10]  Luís Gonzaga Trabasso,et al.  Airframe Sealing Automation Using Snake-robot , 2019, Proceedings of the 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden.

[11]  Zhizhou Zhang,et al.  Autonomous in-situ correction of fused deposition modeling printers using computer vision and deep learning , 2019, Manufacturing Letters.

[12]  L. G. Trabasso,et al.  Design for Automation within the aeronautical domain , 2019, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

[13]  K. Moon,et al.  Formulation and Processing of Conductive Polysulfide Sealants for Automotive and Aerospace Applications , 2019, 2019 IEEE 69th Electronic Components and Technology Conference (ECTC).

[14]  Yigang He,et al.  Generalized Completed Local Binary Patterns for Time-Efficient Steel Surface Defect Classification , 2019, IEEE Transactions on Instrumentation and Measurement.

[15]  Jiwen Lu,et al.  Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Tangbin Xia,et al.  Leakage Monitoring in Static Sealing Interface Based on Three Dimensional Surface Topography Indicator , 2018, Journal of Manufacturing Science and Engineering.

[17]  Jörg Wollnack,et al.  Real-Time Path Correction of an Industrial Robot for Adhesive Application on Composite Structures , 2018 .

[18]  David T. Branson,et al.  Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming , 2017 .

[19]  X. Yao,et al.  Effect of stress relaxation on sealing performance of the fabric rubber seal , 2017 .

[20]  Xingguang Duan,et al.  Interaction Control for Manipulator with compliant end-effector based on hybrid position-force control , 2017, 2017 IEEE International Conference on Mechatronics and Automation (ICMA).

[21]  Xiao Li,et al.  An automatic sealing system for battery lid based on machine vision , 2017, 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE).

[22]  Yifan Zhao,et al.  A Passive Imaging System for Geometry Measurement for the Plasma Arc Welding Process , 2017, IEEE Transactions on Industrial Electronics.

[23]  Sadek Crisóstomo Absi Alfaro,et al.  Real-Time Measurement of Width and Height of Weld Beads in GMAW Processes , 2016, Sensors.

[24]  Yuanyuan Liu,et al.  A machine vision based sealing rings automatic grabbing and putting system , 2016, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN).

[25]  José Manuel Menéndez,et al.  A Simplified Computer Vision System for Road Surface Inspection and Maintenance , 2016, IEEE Transactions on Intelligent Transportation Systems.

[26]  Yunhui Yan,et al.  A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects , 2013 .

[27]  Jun Xiong,et al.  Vision-sensing and bead width control of a single-bead multi-layer part: material and energy savings in GMAW-based rapid manufacturing , 2013 .

[28]  Enrique Alegre,et al.  A evaluation of surface roughness classes by computer vision using wavelet transform in the frequency domain , 2012 .

[29]  Wang Li,et al.  Adaptive Depth Measurement System of Bi-component Insulating Glass Sealing Robot , 2010, 2010 International Conference on Digital Manufacturing & Automation.

[30]  Richard Chiou,et al.  Manufacturing e-quality through integrated web-enabled computer vision and robotics , 2009 .

[31]  B. Lorenz,et al.  Leak rate of seals: Comparison of theory with experiment , 2009, 0904.2988.

[32]  Yung Ting,et al.  Glue dispenser route inspection by using computer vision and neural network , 2008 .

[33]  R. Adams,et al.  Peel Behaviour of Aircraft Fuel Tank Sealants: the Effect of Peel Angle, Sealant Layer Thickness and Peel Rate , 2008 .

[34]  Robert Flitney,et al.  Seals and Sealing Handbook , 2007 .

[35]  Bahram Ravani,et al.  Sensor-based path planning and motion control for a robotic system for roadway crack sealing , 2000, IEEE Trans. Control. Syst. Technol..

[36]  Jim R. Parker,et al.  Algorithms for image processing and computer vision , 1996 .

[37]  Sigmund Floyd,et al.  高分子化学・工学 = Polymer science and engineering , 1995 .

[38]  J. P. Bell,et al.  Adhesives Technology Handbook , 1985 .

[39]  G. Chryssolouris,et al.  A Perspective on Artificial Intelligence in Manufacturing , 2023, Studies in Systems, Decision and Control.

[40]  S. Makris,et al.  AI-enhanced vision system for dispensing process monitoring and quality control in manufacturing of large parts , 2022, Procedia CIRP.

[41]  Vladimír Bulej,et al.  An overview of robot applications in automotive industry , 2021, Transportation Research Procedia.

[42]  Yabin Xu,et al.  Accurate and Reliable Sealant Inspection for Aircraft Fuel Tank Based on 3-D Point Cloud , 2021, IEEE Transactions on Instrumentation and Measurement.

[43]  Simon Atkinson,et al.  The automotive industry's reliance on efficient and precise application of sealing materials to vehicle parts , 2020 .

[44]  Kyung-Soo Kim,et al.  Design of a miniature force sensor based on photointerrupter for robotic hand , 2018 .

[45]  Kerstin Johansen,et al.  Safe Layout Design and Evaluation of a Human-Robot Collaborative Application Cell through Risk Assessment – A Computer Aided Approach , 2018 .

[46]  Ivan Kuric,et al.  Utilization of Strategies to Generate and Optimize Machining Sequences in CAD/CAM☆ , 2017 .

[47]  Surjya K. Pal,et al.  Application of digital image processing in tool condition monitoring: A review , 2013 .

[48]  Philippe Cognard,et al.  Equipment for the Application of Adhesives and Sealants: Mixing, Metering, Coating or Applying the Adhesives , 2006 .

[49]  F. C. Campbell.  Manufacturing technology for aerospace structural materials , 2006 .