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Highly dexterous 2-module soft robot for intra-organ navigation in minimally invasive surgery.
- Source :
-
The international journal of medical robotics + computer assisted surgery : MRCAS [Int J Med Robot] 2018 Feb; Vol. 14 (1). Date of Electronic Publication: 2017 Dec 05. - Publication Year :
- 2018
-
Abstract
- Background: For some surgical interventions, like the Total Mesorectal Excision (TME), traditional laparoscopes lack the flexibility to safely maneuver and reach difficult surgical targets. This paper answers this need through designing, fabricating and modelling a highly dexterous 2-module soft robot for minimally invasive surgery (MIS).<br />Methods: A soft robotic approach is proposed that uses flexible fluidic actuators (FFAs) allowing highly dexterous and inherently safe navigation. Dexterity is provided by an optimized design of fluid chambers within the robot modules. Safe physical interaction is ensured by fabricating the entire structure by soft and compliant elastomers, resulting in a squeezable 2-module robot. An inner free lumen/chamber along the central axis serves as a guide of flexible endoscopic tools. A constant curvature based inverse kinematics model is also proposed, providing insight into the robot capabilities.<br />Results: Experimental tests in a surgical scenario using a cadaver model are reported, demonstrating the robot advantages over standard systems in a realistic MIS environment.<br />Conclusion: Simulations and experiments show the efficacy of the proposed soft robot.<br /> (Copyright © 2017 John Wiley & Sons, Ltd.)
- Subjects :
- Biomechanical Phenomena
Cadaver
Digestive System Surgical Procedures methods
Equipment Design
Humans
Laparoscopy methods
Models, Statistical
Motion
Robotic Surgical Procedures methods
Video Recording
Digestive System Surgical Procedures instrumentation
Laparoscopes
Laparoscopy instrumentation
Minimally Invasive Surgical Procedures instrumentation
Robotic Surgical Procedures instrumentation
Subjects
Details
- Language :
- English
- ISSN :
- 1478-596X
- Volume :
- 14
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- The international journal of medical robotics + computer assisted surgery : MRCAS
- Publication Type :
- Academic Journal
- Accession number :
- 29205769
- Full Text :
- https://doi.org/10.1002/rcs.1875