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Mikael Fridenfalk, G. Bolmsjö (2002)
Design and validation of a sensor guided robot control system for welding in shipbuilding, 14
Feng-yun Lin, Lü Tian-sheng (2005)
Development of a robot system for complex surfaces polishing based on CL dataThe International Journal of Advanced Manufacturing Technology, 26
K. Brink, Magnus Olsson, G. Bolmsjö (1997)
Increased Autonomy in Industrial Robotic Systems: A FrameworkJournal of Intelligent and Robotic Systems, 19
Jacqueline Kenney, Thomas Buckley, O. Brock (2009)
Interactive segmentation for manipulation in unstructured environments2009 IEEE International Conference on Robotics and Automation
F. Nagata, Y. Kusumoto, Yoshihiro Fujimoto, Keigo Watanabe (2007)
Robotic sanding system for new designed furniture with free-formed surfaceRobotics and Computer-integrated Manufacturing, 23
Video 1
Robot program generation from CAD virtual paths
T. Schafer, R. Schraft (2005)
Incremental sheet metal forming by industrial robotsRapid Prototyping Journal, 11
(2010)
Robot program generation from CAD virtual paths Robot path adjustment – laser camera Robot path adjustment – force sensor
E. Cerit, Ismail Lazoglu (2011)
A CAM-based path generation method for rapid prototyping applicationsThe International Journal of Advanced Manufacturing Technology, 56
P. Cederberg, Magnus Olsson, G. Bolmsjö (2002)
Virtual Triangulation Sensor Development, Behavior Simulation and CAR Integration Applied to Robotic Arc-WeldingJournal of Intelligent and Robotic Systems, 35
N. Mendes, P. Neto, J. Pires, A. Loureiro (2013)
Discretization and fitting of nominal data for autonomous robotsArXiv, abs/1309.2081
Video 3
Robot path adjustment – force sensor
G. Bolmsjö, Magnus Olsson (2005)
Sensors in robotic arc welding to support small series productionInd. Robot, 32
N. Mendes, P. Neto, J. Pires, A. Loureiro (2013)
An optimal fuzzy-PI force/motion controller to increase industrial robot autonomyThe International Journal of Advanced Manufacturing Technology, 68
P. Kopacek (1999)
Intelligent Manufacturing:Present State and Future TrendsJournal of Intelligent and Robotic Systems, 26
J. Kim (2004)
CAD-based automated robot programming in adhesive spray systems for shoe outsoles and uppersJ. Field Robotics, 21
P. Neto, J. Pires, A. Moreira (2010)
High-level programming and control for industrial robotics: using a hand-held accelerometer-based input device for gesture and posture recognitionInd. Robot, 37
P. Neto, J. Pires, A. Moreira (2009)
Accelerometer-based control of an industrial robotic armRO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication
Heping Chen, T. Fuhlbrigge, Xiongzi Li (2009)
A review of CAD-based robot path planning for spray paintingInd. Robot, 36
N. Mendes, P. Neto, J. Pires, A. Moreira (2010)
Fuzzy-PI Force Control for Industrial Robotics
Rolf Johansson, A. Robertsson, K. Nilsson, T. Brogårdh, P. Cederberg, Magnus Olsson, Tomas Olsson, G. Bolmsjö (2004)
Sensor integration in task-level programming and industrial robotic task execution controlInd. Robot, 31
B. Bhanu (1987)
CAD-based robot visionIEEE Computer, 20
P. Neto, J. Pires, A. Moreira (2010)
CAD-based off-line robot programming2010 IEEE Conference on Robotics, Automation and Mechatronics
Robot path adjustment -laser camera
P. Neto, N. Mendes (2013)
Direct off-line robot programming via a common CAD packageArXiv, abs/1309.2078
J. Pires, T. Godinho, P. Ferreira (2004)
CAD interface for automatic robot welding programmingInd. Robot, 31
Nitin Nayak, A. Ray (1990)
An integrated system for intelligent seam tracking in robotic welding. Conceptual and analytical developmentProceedings., IEEE International Conference on Robotics and Automation
H. Bruyninckx, J. Schutter, B. Allotta (1991)
Model-based constrained motion. a. Modeling, specification and controlFifth International Conference on Advanced Robotics 'Robots in Unstructured Environments
Purpose – The purpose of this paper is to present a CAD‐based human‐robot interface that allows non‐expert users to teach a robot in a manner similar to that used by human beings to teach each other. Design/methodology/approach – Intuitive robot programming is achieved by using CAD drawings to generate robot programs off‐line. Sensory feedback allows minimization of the effects of uncertainty, providing information to adjust the robot paths during robot operation. Findings – It was found that it is possible to generate a robot program from a common CAD drawing and run it without any major concerns about calibration or CAD model accuracy. Research limitations/implications – A limitation of the proposed system has to do with the fact that it was designed to be used for particular technological applications. Practical implications – Since most manufacturing companies have CAD packages in their facilities today, CAD‐based robot programming may be a good option to program robots without the need for skilled robot programmers. Originality/value – The paper proposes a new CAD‐based robot programming system. Robot programs are directly generated from a CAD drawing “running” on a commonly available 3D CAD package ( Autodesk Inventor ) and not from a commercial, computer aided robotics (CAR) software, making it a simple CAD integrated solution. This is a low‐cost and low‐setup time system where no advanced robot programming skills are required to operate it. In summary, robot programs are generated with a high‐level of abstraction from the robot language.
Industrial Robot: An International Journal – Emerald Publishing
Published: Apr 27, 2012
Keywords: Robots; Programming; Computer aided design; Industrial robotics; High‐level programming; Sensory feedback; Unpredictable environments
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