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Collision detection and untangling for surgical robotic manipulators
Background Robotic‐assisted minimally invasive surgery provides several advantages over traditional surgery; however, it also has several drawbacks, such as possible collisions between the robotic arms and a limited field of view. Methods A generic method for tracking the configuration of a surgical...
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Published in: | The international journal of medical robotics + computer assisted surgery 2009-09, Vol.5 (3), p.233-242 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background
Robotic‐assisted minimally invasive surgery provides several advantages over traditional surgery; however, it also has several drawbacks, such as possible collisions between the robotic arms and a limited field of view.
Methods
A generic method for tracking the configuration of a surgical manipulator in real time is presented. It is coupled with a collision detection and dynamic simulation algorithm, allowing the operator to detect collisions between robotic arms before they happen and presenting the best possible untangling direction to get out of collisions.
Results
Our algorithm successfully tracks the configuration of the Zeus® surgical system and accurately detects possible collisions in real time. A pilot study on our system proved its efficiency in reducing the duration and severity of collisions, at the price of longer completion times.
Conclusion
Our system helps alleviate the collision problem by reducing the time in collision. Copyright © 2009 John Wiley & Sons, Ltd. |
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ISSN: | 1478-5951 1478-596X |
DOI: | 10.1002/rcs.247 |