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Cited by 493

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

An open-source research kit for the da Vinci® Surgical System

Kazanzides, Peter, Chen, Zihan, Deguet, Anton, Fischer, Gregory S., Taylor, Russell H., DiMaio, Simon P.·2014·2014 IEEE International Conference on Robotics and Automation (ICRA)

Abstract

We present a telerobotics research platform that provides complete access to all levels of control via open-source electronics and software. The electronics employs an FPGA to enable a centralized computation and distributed I/O architecture in which all control computations are implemented in a familiar development environment (Linux PC) and low-latency I/O is performed over an IEEE-1394a (FireWire) bus at speeds up to 400 Mbits/sec. The mechanical components are obtained from retired first-generation da Vinci ® Surgical Systems. This system is currently installed at 11 research institutions, with additional installations underway, thereby creating a research community around a common open-source hardware and software platform.

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Metadata

Authors
Kazanzides, P., Chen, Z., Deguet, A., Fischer, G. S., Taylor, R. H., & DiMaio, S. P.
Venue
2014 IEEE International Conference on Robotics and Automation (ICRA)
Publisher
IEEE
Published
2014-05
Pages
6434-6439
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2061417916
Cited by
493
References
9
FWCI
50.34
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: An open-source research kit for the da Vinci® Surgical System. https://app.cochat.ai/papers/10.1109/icra.2014.6907809
The paper
Kazanzides, P., Chen, Z., Deguet, A., Fischer, G. S., Taylor, R. H., & DiMaio, S. P. (2014). An open-source research kit for the da Vinci® Surgical System. 2014 IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra.2014.6907809

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.