Evidence map›Paper›PMID 31475075›Full record

ArticleProceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems2018

A Confidence-Based Shared Control Strategy for the Smart Tissue Autonomous Robot (STAR).

H Saeidi, Justin D Opfermann, Michael Kam, Sudarshan Raghunathan, S Leonard, A Krieger

Abstract read
In one paragraph

Article in Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. A Confidence-Based Shared Control Strategy for Robotic Electrosurgery.IEEE transactions on medical robotics and bionics · 2025
    Article
  6. Review
  7. [Brief history and application prospect of robotic spine surgery].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Computational healthcare: Present and future perspectives (Review).Experimental and therapeutic medicine · 2021
    Review
  12. The automaton as a surgeon: the future of artificial intelligence in emergency and general surgery.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2021
    Review
  13. Article
  14. A Confidence-Based Supervised-Autonomous Control Strategy for Robotic Vaginal Cuff Closure.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

H SaeidiMechanical Engineering Department, University of Maryland, College Park, MD 20742, USA. hsaeidi@umd.edu, mkam@umd.edu, sraghuna@umd.edu, axel@umd.edu.
Justin D OpfermannSheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Health System, 111 Michigan Ave. N.W., Washington, DC 20010. jopferma@cnmc.org.
Michael KamMechanical Engineering Department, University of Maryland, College Park, MD 20742, USA. hsaeidi@umd.edu, mkam@umd.edu, sraghuna@umd.edu, axel@umd.edu.
Sudarshan RaghunathanMechanical Engineering Department, University of Maryland, College Park, MD 20742, USA. hsaeidi@umd.edu, mkam@umd.edu, sraghuna@umd.edu, axel@umd.edu.
S LeonardElectrical and Computer Science Engineering Department, Johns Hopkins University, Baltimore, MD 21211. sleonard@jhu.edu.
A KriegerMechanical Engineering Department, University of Maryland, College Park, MD 20742, USA. hsaeidi@umd.edu, mkam@umd.edu, sraghuna@umd.edu, axel@umd.edu.

Funding

Next Generation of Surgical Imaging and Robotics for Supervised Autonomous Soft Tissue SurgeryR01EB020610 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI HSIEH, MICHAEL HARRISON, KANG, JIN U · 2016 to 2019
$1.5M
Development and Pre-Clinical Evaluation of a Robotic System for Supervised Autonomous Tumor SurgeryR21EB024707 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI KRIEGER, AXEL · 2017 to 2018
$446k
NIBIB NIH HHS R01 EB020610NIBIB NIH HHS R21 EB024707
6 · The paper itself

Abstract

Autonomous robotic assisted surgery (RAS) systems aim to reduce human errors and improve patient outcomes leveraging robotic accuracy and repeatability during surgical procedures. However, full automation of RAS in complex surgical environments is still not feasible and collaboration with the surgeon is required for safe and effective use. In this work, we utilize our Smart Tissue Autonomous Robot (STAR) to develop and evaluate a shared control strategy for the collaboration of the robot with a human operator in surgical scenarios. We consider 2D pattern cutting tasks with partial blood occlusion of the cutting pattern using a robotic electrocautery tool. For this surgical task and RAS system, we i) develop a confidence-based shared control strategy, ii) assess the pattern tracking performances of manual and autonomous controls and identify the confidence models for human and robot as well as a confidence-based control allocation function, and iii) experimentally evaluate the accuracy of our proposed shared control strategy. In our experiments on porcine fat samples, by combining the best elements of autonomous robot controller with complementary skills of a human operator, our proposed control strategy improved the cutting accuracy by 6.4

Identifiers

PMID31475075
PMCPMC6716799

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.