2017
DOI: 10.1109/tro.2016.2623332
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Applying Virtual Fixtures to the Distal End of a Minimally Invasive Surgery Instrument

Abstract: The comanipulation paradigm, in which a user and a robot simultaneously hold a tool, allows for gesture guidance. In particular, virtual fixtures, which are geometrical constraints imposed to the tool by the robot, have received a great interest in the domain of surgical applications. So far, this concept has been implemented in the context of open surgery. This paper explores the application of virtual fixtures for minimally invasive surgery, where the tool is inserted in the patient through a fulcrum. Here, … Show more

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Cited by 28 publications
(30 citation statements)
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“…Using the same methodology of Section III-A, we redefine d safe to maintain the robot inside a safe region; that is, 5 The motion of the restricted zone takes into account the actual obstacle motion and the motion of the safe boundary (i.e., whenḋ safe = 0). with final solution, assuming the desired signed distance dynamics (16), given by…”
Section: B Keeping the Robot Entity Inside A Safe Regionmentioning
confidence: 99%
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“…Using the same methodology of Section III-A, we redefine d safe to maintain the robot inside a safe region; that is, 5 The motion of the restricted zone takes into account the actual obstacle motion and the motion of the safe boundary (i.e., whenḋ safe = 0). with final solution, assuming the desired signed distance dynamics (16), given by…”
Section: B Keeping the Robot Entity Inside A Safe Regionmentioning
confidence: 99%
“…The first one is used to evaluate the effect of the parameter η d in the vector-field inequality in (16); the second one is used to evaluate the use of several simultaneous active constraints to avoid collisions with an anatomically correct head model while a pair of robots automatically track a prescribed trajectory; and the last one is used to evaluate the system behavior under teleoperation and tool-tissue interactions with a flexible tissue phantom. Both simulations and experiments used the same software implementation on a single computer running Ubuntu 16.04 x64 with a kernel patch to Linux called CON-FIG_PREEMPT_RT 9 from Ingo Molnar and Thomas Gleixner.…”
Section: Simulation and Experimentsmentioning
confidence: 99%
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