Common Sensors in Industrial Robots: A Review

The application of industrial robots has greatly promoted the development of industry in the past decades. Now with the proposal and prevalence of Industry 4.0, industrial robots are required to be more independent and intelligent to accomplish more complex and flexible tasks. The advancement of industrial robots relies on the development and progress of multiple technologies, among which sensors are the indispensable part. They can acquire abundant information to help industrial robots implement their functions. This paper reviews the recent literatures and gives a summary and introduction of the commonly used sensors in industrial robots. Additionally, the applications of these sensors in diverse functions of industrial robots are also presented. Finally, the developing direction and challenges of industrial robots in the future are discussed in the last part of this article.

[1]  Christian Moeller,et al.  Real Time Pose Control of an Industrial Robotic System for Machining of Large Scale Components in Aerospace Industry Using Laser Tracker System , 2017 .

[2]  Stephan Kallweit,et al.  ROS Based Safety Concept for Collaborative Robots in Industrial Applications , 2015, RAAD.

[3]  Massimo Callegari,et al.  Industrial Robot : An International Journal Manual guidance for industrial robot programming , 2016 .

[4]  Rodrigo Ventura,et al.  Assessment of navigation technologies for automated guided vehicle in nuclear fusion facilities , 2017, Robotics Auton. Syst..

[5]  Hossein Mousazadeh,et al.  A technical review on navigation systems of agricultural autonomous off-road vehicles , 2013 .

[6]  Dongqing Wang,et al.  Magnetic Locating AGV Navigation Based on Kalman Filter and PID Control , 2018, 2018 Chinese Automation Congress (CAC).

[7]  Yanling Xu,et al.  Computer vision technology for seam tracking in robotic GTAW and GMAW , 2015 .

[8]  Sungshin Kim,et al.  Improved positioning method for Magnetic Encoder type AGV using Extended Kalman Filter and Encoder Compensation Method , 2017, International Journal of Control, Automation and Systems.

[9]  Giulio Reina,et al.  A Survey of Ranging and Imaging Techniques for Precision Agriculture Phenotyping , 2017, IEEE/ASME Transactions on Mechatronics.

[10]  Dmitry Popov,et al.  Collision detection, localization & classification for industrial robots with joint torque sensors , 2017, 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[11]  Alexandr Klimchik,et al.  Robotic manipulators with double encoders: accuracy improvement based on advanced stiffness modeling and intelligent control , 2018 .

[12]  Sotiris Makris,et al.  ROBO-PARTNER: Seamless Human-Robot Cooperation for Intelligent, Flexible and Safe Operations in the Assembly Factories of the Future☆ , 2014 .

[13]  Roque Alfredo Osornio-Rios,et al.  Sensor Fusion for Joint Kinematic Estimation in Serial Robots Using Encoder, Accelerometer and Gyroscope , 2015, J. Intell. Robotic Syst..

[14]  Vinod Yadava,et al.  Laser beam machining—A review , 2008 .

[15]  Milad Geravand,et al.  High accurate robotic drilling with external sensor and compliance model-based compensation , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[16]  Lorenzo Sabattini,et al.  Cooperative cloud robotics architecture for the coordination of multi-AGV systems in industrial warehouses , 2017 .

[17]  Wolfgang Reif,et al.  Environment-aware proximity detection with capacitive sensors for human-robot-interaction , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[18]  Loredana Zollo,et al.  Slippage Detection with Piezoresistive Tactile Sensors , 2017, Sensors.

[19]  Andrea Maria Zanchettin,et al.  Reactive Task Adaptation Based on Hierarchical Constraints Classification for Safe Industrial Robots , 2015, IEEE/ASME Transactions on Mechatronics.

[20]  Zheyao Wang,et al.  Motion Measurement Using Inertial Sensors, Ultrasonic Sensors, and Magnetometers With Extended Kalman Filter for Data Fusion , 2012, IEEE Sensors Journal.

[21]  Tao Zhu,et al.  Recognition of Weld Penetration During K-TIG Welding Based on Acoustic and Visual Sensing , 2019 .

[22]  Hsiu-Chin Lin,et al.  Learning task constraints in operational space formulation , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[23]  Alexander Verl,et al.  A HMM-based approach to learning probability models of programming strategies for industrial robots , 2010, 2010 IEEE International Conference on Robotics and Automation.

[24]  Robert Schmitt,et al.  Stereo-vision for autonomous industrial inspection robots , 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[25]  Frank Kirchner,et al.  Multimodal sensor-based whole-body control for human-robot collaboration in industrial settings , 2017, Robotics Auton. Syst..

[26]  Seemal Asif,et al.  The integration of contactless static pose recognition and dynamic hand motion tracking control system for industrial human and robot collaboration , 2015, Ind. Robot.

[27]  I. Manna,et al.  Laser processing of materials , 2003 .

[28]  Panchanand Jha,et al.  Development of Robotic End-Effector Using Sensors for Part Recognition and Grasping , 2015 .

[29]  Andrey V. Savkin,et al.  An algorithm for safe navigation of mobile robots by a sensor network in dynamic cluttered industrial environments , 2018, Robotics and Computer-Integrated Manufacturing.

[30]  Wen-Fang Xie,et al.  Image-Based Visual Servoing Using an Optimized Trajectory Planning Technique , 2017, IEEE/ASME Transactions on Mechatronics.

[31]  Jochen J. Steil,et al.  Robust recognition of tactile gestures for intuitive robot programming and control , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[32]  Wang Tianmia,et al.  Research Status and Industrialization Development Strategy of Chinese Industrial Robot , 2014 .

[33]  Zhen Ye,et al.  Welding seam tracking in robotic gas metal arc welding , 2017 .

[34]  Hong Qiao,et al.  Precise Robotic Assembly for Large-Scale Objects Based on Automatic Guidance and Alignment , 2016, IEEE Transactions on Instrumentation and Measurement.

[35]  António Paulo Moreira,et al.  Assessment of Robotic Picking Operations Using a 6 Axis Force/Torque Sensor , 2016, IEEE Robotics and Automation Letters.

[36]  Jayashri Vajpai,et al.  Industrial Applications of Automatic Speech Recognition Systems , 2016 .

[37]  Nigel H. Lovell,et al.  A review of tactile sensing technologies with applications in biomedical engineering , 2012 .

[38]  Lihui Wang,et al.  Active collision avoidance for human–robot collaboration driven by vision sensors , 2017, Int. J. Comput. Integr. Manuf..

[39]  J. Sankari,et al.  Automated guided vehicle(AGV) for industrial sector , 2016, 2016 10th International Conference on Intelligent Systems and Control (ISCO).

[40]  Giulia Bruno,et al.  Human-Robot Collaboration Using Industrial Robots , 2017 .

[41]  Lifeng Zhou,et al.  Industry 4.0: Towards future industrial opportunities and challenges , 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[42]  Nathan F. Lepora,et al.  Tactile Quality Control With Biomimetic Active Touch , 2016, IEEE Robotics and Automation Letters.

[43]  Xu Yan-ling,et al.  Real-time monitoring of welding path in pulse metal-inert gas robotic welding using a dual-microphone array , 2017 .

[44]  Manuel Brucker,et al.  Toward fully autonomous mobile manipulation for industrial environments , 2017 .

[45]  José Saenz,et al.  A large scale tactile sensor for safe mobile robot manipulation , 2016, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[46]  Marian Himstedt,et al.  An Autonomous Forklift with 3D Time-of-Flight Camera-Based Localization and Navigation , 2018, 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV).

[47]  Wenfeng Li,et al.  Combinatorial inertial guidance system for an automated guided vehicle , 2018, 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC).

[48]  Ilian A. Bonev,et al.  Dynamic Path Tracking of Industrial Robots With High Accuracy Using Photogrammetry Sensor , 2018, IEEE/ASME Transactions on Mechatronics.

[49]  Petr Novák,et al.  HUMAN – ROBOT COLLABORATION IN INDUSTRY , 2016 .

[50]  Giovanni Muscato,et al.  A Joint-Angle Estimation Method for Industrial Manipulators Using Inertial Sensors , 2015, IEEE/ASME Transactions on Mechatronics.

[51]  Z. Jane Wang,et al.  Novel Tactile Sensor Technology and Smart Tactile Sensing Systems: A Review , 2017, Sensors.

[52]  A. Paulo Moreira,et al.  Stereo-based real-time 6-DoF work tool tracking for robot programing by demonstration , 2016 .

[53]  Hubert Roth,et al.  An Approach for Peg-in-Hole Assembling using Intuitive Search Algorithm based on Human Behavior and Carried by Sensors Guided Industrial Robot , 2015 .

[54]  Rafiq Ahmad,et al.  Safe and Automated Assembly Process using Vision Assisted Robot Manipulator , 2016 .

[55]  Pietro Falco,et al.  Integrated force/tactile sensing: The enabling technology for slipping detection and avoidance , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[56]  M. Amann,et al.  Laser ranging: a critical review of usual techniques for distance measurement , 2001 .