2002
DOI: 10.1016/s0007-8506(07)61454-1
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Automated Calibration of Robot Coordinates for Reconfigurable Assembly Systems

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Cited by 43 publications
(15 citation statements)
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“…System ramp-up and dignosibility are other design issues. Arai et al (2002) used some robots to calibrate a reconfigurable assembly system automatically to reduce ramp-up time. Mehrabi and Kannatey-Asibu (2001) have built a multi-sensor monitoring system to increase system dignosibility.…”
Section: Reconfigurable Assembly Systemsmentioning
confidence: 99%
“…System ramp-up and dignosibility are other design issues. Arai et al (2002) used some robots to calibrate a reconfigurable assembly system automatically to reduce ramp-up time. Mehrabi and Kannatey-Asibu (2001) have built a multi-sensor monitoring system to increase system dignosibility.…”
Section: Reconfigurable Assembly Systemsmentioning
confidence: 99%
“…The cameras are freely positioned, and then a set of motions is commanded to each manipulator. By detecting the motion with the cameras, the relative position of the two robots is obtained [5] (Figure 15). Scholz-Reiter et al proposed a methodology to reactively generate process plans for flexible disassembly of obsolete appliances [75].…”
Section: Automatic Assembly Cellsmentioning
confidence: 99%
“…Robot base frame calibration, which determines position and orientation of a robot base relative to a world coordinate system, is a fundamental problem for robotic systems and has been extensively studied [8][9][10][11][12][13][14][15][16][17]. Description of a robot base frame in a world coordinate system can be measured directly with a laser tracker [8].…”
Section: Introductionmentioning
confidence: 99%
“…Due to the nature of high cost-effective and non-contact, vision systems are widely used in various industrial scenarios, such as robotic drilling [7,18], robotic welding [19,20], robotic assembly [21][22][23], burr detection [24], and automated micromanipulation [25]. For a robotic system with a vision system deployed on its end-effector, the robot base frame and the hand-eye relationship are often calibrated simultaneously [11][12][13][14][15][16][17]26]. In [11], the robot base frame and the sensor/ end-effector relationship are estimated by solving a homogeneous transformation system AX=YB; drawbacks of which are estimation errors accumulation and need of complete robot pose measurement.…”
Section: Introductionmentioning
confidence: 99%
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