SARTRES: a semi-autonomous robot teleoperation environment for surgery-Reference-Cited by-同舟云学术

SARTRES: a semi-autonomous robot teleoperation environment for surgery

Published:2020-11-05 Issue:4 Volume:9 Page:376-383
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Rahman Md Masudur¹^ORCID,Balakuntala Mythra V.²,Gonzalez Glebys³,Agarwal Mridul⁴,Kaur Upinder²,Venkatesh Vishnunandan L. N.²,Sanchez-Tamayo Natalia³,Xue Yexiang¹,Voyles Richard M.²,Aggarwal Vaneet³⁴^ORCID,Wachs Juan³

Affiliation:

1. Department of Computer Science, Purdue University, West Lafayette, IN, USA

2. School of Engineering Technology, Purdue University, West Lafayette, IN, USA

3. School of Industrial Engineering, Purdue University, West Lafayette, IN, USA

4. School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

Funder

Office of the Assistant Secretary of Defense for Health Affairs

NSF FMitF program

NSF Center for Robots and Sensors for the Human Well-Being

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2020.1834878

Reference41 articles.

1. Abdulla W 2017. Mask r-cnn for object detection and instance segmentation on keras and tensorflow. Accessed August 26, 2020. https://github.com/matterport/Mask_RCNN

2. Usability Guidelines for the Design of Robot Teleoperation: A Taxonomy

3. A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery

4. Simple online and realtime tracking

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