Interactive laser-projection for programming industrial robots

Zaeh, Michael E.; Vogl, W.

doi:10.1109/ismar.2006.297803

Cited by 51 publications

(26 citation statements)

References 5 publications

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“…Industrial AR projects include both HMD-and spatial display-based approaches 12,13,14,15,16 . The development and modification of programs for robot control is a particularly suitable application, where the operator has the task of specifying the robot's motion sequence.…”

Section: Related Workmentioning

confidence: 99%

“…Numerous researchers mention the importance of ergonomics, uncomplicated calibration, visual quality and adequate precision in industrial environments 12,13,14 , which makes HMDs, video see-through techniques and mobile solutions less attractive in a stationary industrial setup. While 3D laser projection is promising in the augmentation of 3D surfaces 13 , direct projection is less applicable in the workspace of a CNC machine, since the tool and the workpiece are moving in free space, leaving virtually no room for suitable projection surfaces.…”

Section: Related Workmentioning

confidence: 99%

“…While 3D laser projection is promising in the augmentation of 3D surfaces 13 , direct projection is less applicable in the workspace of a CNC machine, since the tool and the workpiece are moving in free space, leaving virtually no room for suitable projection surfaces.…”

Section: Related Workmentioning

confidence: 99%

“…As in the case of robotics 13 , interactive visual feedback would be primarily of interest for production of limited series when online programming and frequent redesign are used. We have also identified the benefit of our technology in training and education.…”

Section: Future Workmentioning

confidence: 99%

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Spatial augmented reality on industrial CNC-machines

Olwal¹,

Gustafsson²,

Lindfors³

2008

SPIE Proceedings

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In this work we present how Augmented Reality (AR) can be used to create an intimate integration of process data with the workspace of an industrial CNC (computer numerical control) machine. AR allows us to combine interactive computer graphics with real objects in a physical environment -in this case, the workspace of an industrial lathe. ASTOR is an autostereoscopic optical see-through spatial AR system, which provides real-time 3D visual feedback without the need for user-worn equipment, such as head-mounted displays or sensors for tracking. The use of a transparent holographic optical element, overlaid onto the safety glass, allows the system to simultaneously provide bright imagery and clear visibility of the tool and workpiece. The system makes it possible to enhance visibility of occluded tools as well as to visualize real-time data from the process in the 3D space. The graphics are geometrically registered with the workspace and provide an intuitive representation of the process, amplifying the user's understanding and simplifying machine operation.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Future Workmentioning

confidence: 99%

See 2 more Smart Citations

Spatial augmented reality on industrial CNC-machines

Olwal¹,

Gustafsson²,

Lindfors³

2008

SPIE Proceedings

View full text Add to dashboard Cite

show abstract

“…The computer-generated 3D graphics or 2D text is merged with the real view to help users to learn and perceive more information which cannot be seen in the real world [1]. Augmented reality has been widely applied in many domains, such as medical visualization, military training, manufacturing, maintenance and repair [2][3][4][5]. They all involve superposing computergenerated virtual model on real scenes, which must be done in real-time.…”

Section: Introductionmentioning

confidence: 99%

Augmented reality registration algorithm based on nature feature recognition

Chen

Wang

Guo

et al. 2010

Sci. China Inf. Sci.

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This paper presents an improved key frame based augmented reality registration algorithm for real-time motion tracking in outdoor environment. In such applications, wide-baseline feature matching is a critical problem. In this paper, we apply randomized tree method to match key points extracted from the input image to those key frames as a classification problem. Extended Kalman filter is also utilized for jitter correction. A video see-through mobile augmented reality system is built for the on-site digital reconstruction of Yuanmingyuan Garden. Experimental results demonstrate that this algorithm is real-time, robust and effective for outdoor tracking. CitationChen J, Wang Y T, Guo J W, et al. Augmented reality registration algorithm based on nature feature recognition. Sci China Inf Sci, 2010Sci, , 53: 1555Sci, -1565

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