2011 IEEE/RSJ International Conference on Intelligent Robots and Systems 2011
DOI: 10.1109/iros.2011.6048459
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Active camera control with obstacle avoidance for remote operations with industrial manipulators: Implementation and experimental results

Abstract: Abstract-Remote controlled robots on offshore oil and gas platforms can potentially reduce costs and improve environment, health and safety issues. A key to successful remote control is to provide onshore operators with a sufficient overview of the processes offshore. To this end, robot manipulators constitute flexible camera platforms, compared to e.g. simple pantilt units, for monitoring offshore operations. In this paper, we present a system solution and experimental results for real-time active camera cont… Show more

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Cited by 6 publications
(11 citation statements)
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“…Both manipulators' joint configuration states q, or respective wrist operational space states p, may be retrieved. We refer the reader to Bjerkeng et al (2011b) for more specifics on this architecture.…”
Section: Methodsmentioning
confidence: 99%
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“…Both manipulators' joint configuration states q, or respective wrist operational space states p, may be retrieved. We refer the reader to Bjerkeng et al (2011b) for more specifics on this architecture.…”
Section: Methodsmentioning
confidence: 99%
“…The algorithm of Bjerkeng et al (2011b), summarized in section 2.3, is implemented as a Matlab-based controller on top of this architecture. The controller is interfaced through setting the current operation manipulator wrist coordinates, the requested zoom distance, as well as a maximum increment parameter controlling the dynamic properties of the camera platform manipulator.…”
Section: Methodsmentioning
confidence: 99%
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“…This provides the operator with a clear view of the operation performed with the GR. Further details regarding the experiment, laboratory setup and the computer system used is found in [17].…”
Section: A Experimental Setupmentioning
confidence: 99%
“…The control law proposed in this paper and the experimental system used is further elaborated on in [17]. Pseudoinverse weighting and nullspace control is used to achieve obstacle avoidance while respecting the inherent joint range limitations With the current approach, the follower's knowledge of the leader's state is limited to position measurements.…”
Section: B Future Workmentioning
confidence: 99%