There is a missing link between a virtual development environment (e.g., a CAD/CAM driven offline robotic programming) and production requirements of the actual robotic workcell. Simulated robot path planning and generation of pick-and-place coordinate points will not exactly coincide with the robot performance due to lack of consideration in variations in individual robot repeatability and thermal expansion of robot linkages. This is especially important when robots are controlled and programmed remotely (e.g., through Internet or Ethernet) since remote users have no physical contact with robotic systems. Using the current technology in Internet-based manufacturing that is limited to a web camera for live image transfer has been a significant challenge for the robot task performance. Consequently, the calibration and accuracy quantification of robot critical to precision assembly have to be performed on-site and the verification of robot positioning accuracy cannot be ascertained remotely. In worst case, the remote users have to assume the robot performance envelope provided by the manufacturers, which may causes a potentially serious hazard for system crash and damage to the parts and robot arms. Currently, there is no reliable methodology for remotely calibrating the robot performance. The objective of this research is, therefore, to advance the current state-of-the-art in Internet-based control and monitoring technology, with a specific aim in the accuracy calibration of micro precision robotic system for the development of a novel methodology utilizing Ethernet-based smart image sensors and other advanced precision sensory control network.
[1]
Yan Meng,et al.
Self-Calibration of Camera-Equipped Robot Manipulators
,
2001,
Int. J. Robotics Res..
[2]
Ken Young,et al.
Accuracy assessment of the modern industrial robot
,
2000
.
[3]
Teresa Wu,et al.
SMWA: A CAD-based Decision Support System for the Efficient Design of Welding
,
2004,
Concurr. Eng. Res. Appl..
[4]
Tien-Fu Lu,et al.
Vision and force/torque sensing for calibration of industrial robots
,
1997
.
[5]
José Mauricio S. T. Motta,et al.
Robot calibration using a 3D vision-based measurement system with a single camera
,
2001
.
[6]
Steven Ashley.
Fuel-saving warship drives
,
1998
.
[7]
Svetan Ratchev,et al.
Towards Web‐enabled design of modular assembly systems
,
2004
.
[8]
Maciej A Bossak.
Simulation based design
,
1998
.
[9]
Daniel S. Goldin,et al.
Ready for the Future
,
1999
.
[10]
Arnoud Visser,et al.
Eye in Hand Robot Calibration
,
1994
.
[11]
David W. Capson,et al.
Robust direct visual servo using network-synchronized cameras
,
2004,
IEEE Transactions on Robotics and Automation.
[12]
Hartmut Janocha,et al.
ICAROS: over‐all‐calibration of industrial robots
,
1995
.
[13]
P. Brunn,et al.
Robot metrology and calibration systems ‐ a market review
,
1998
.
[14]
Svetan Ratchev,et al.
Data modelling for web enabled design of modular precision assembly devices
,
2004
.