Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 306

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Autonomy for Surgical Robots: Concepts and Paradigms

Haidegger, Tamás·2019·IEEE Transactions on Medical Robotics and Bionics

Abstract

Robot-assisted and computer-integrated surgery provides innovative, minimally invasive solutions to heal complex injuries and diseases. The dominant portion of these surgical interventions has been performed with master-slave teleoperation systems, which are not capable of autonomous task execution or cognitive decision making. Much of the most advanced technologies foundered on the drawing boards or at the research labs for a long time, partially due to the fact that the surgical domain is resistant to the introduction of new hazards via the increased complexity of novel solutions. It has been seen with similar heavily regulated areas that internationally accepted standards can facilitate the adoption of new technologies in a safe manner. This paper reviews the existing autonomous capabilities of surgical robots, and investigates the major barriers of development presented by the lack of autonomy benchmarks and standards. The emerging safety standard environment is presented, as a key enabling factor to the commercialization of autonomous surgical robots. A practical scale is introduced to assess the level of autonomy of current and future surgical robots. Regarding the forthcoming robotic platforms, it is crucial to improve the transparency of the regulatory environment, streamline the standardization framework, and increase the social acceptance.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tmrb.2019.2913282

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 306

Metadata

Authors
Haidegger, T.
Venue
IEEE Transactions on Medical Robotics and Bionics
Published
2019-05
Volume
1
Issue
2
Pages
65-76
ISSN
2576-3202 (ISSN-L)
OpenAlex
W2941276819
Cited by
306
References
2
FWCI
11.61
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Autonomy for Surgical Robots: Concepts and Paradigms. https://app.cochat.ai/papers/10.1109/tmrb.2019.2913282
The paper
Haidegger, T. (2019). Autonomy for Surgical Robots: Concepts and Paradigms. IEEE Transactions on Medical Robotics and Bionics. https://doi.org/10.1109/tmrb.2019.2913282

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.