Evidence map›Paper›PMID 42581171›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Development of a master-slave isomorphic modular handheld electric robotic prototype for laparoscopic surgery.

Li Ma, Bingyue Yang, Jie Shao, Qiao Hu, Zicai Zhu

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Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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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

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4 · The record

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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

5 authors.

Li MaSchool of Mechanical Engineering, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, 710049, Shaanxi, China.
Bingyue YangSchool of Mechanical Engineering, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, 710049, Shaanxi, China.
Jie ShaoSchool of Mechanical Engineering, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, 710049, Shaanxi, China.
Qiao HuSchool of Mechanical Engineering, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, 710049, Shaanxi, China.
Zicai ZhuSchool of Mechanical Engineering, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, 710049, Shaanxi, China. zicaizhu@xjtu.edu.cn.

Funding

China Postdoctoral Science Foundation 2025M781327Postdoctoral Fellowship Program of CPSF GZB20250670Postdoctoral Research Funding Project of Shaanxi Province 31271000000091
6 · The paper itself

Abstract

purposeHandheld laparoscopic robots may enhance surgical quality while reducing medical resource use. These types of devices primarily combine the portability of traditional instruments with the flexibility of advanced surgical robotics. However, challenges related to the usability and intuitiveness of wrist-controlled operation modes in handheld robots have raised concerns.

methodsThis study introduces a novel modular handheld electric surgical robot equipped with a joystick, a multi-layer cross-shaped Hooke hinge end effector, and a quick-change mechanism. The joystick exhibits a master-slave isomorphism with the continuum end effector. We conducted kinematic modeling of the end effector using continuous curvature models and proposed a joint incremental proportional control method. To evaluate the device's performance, we constructed an optical 3D motion capture system to monitor the master-slave trajectory of the electric robotic prototype.

resultsThe end effector achieved a combined yaw and pitch range of ± 90°, robot can execute multi-axis circular movements with excellent consistency. The consumable single quick-change time was less than 7 s. The maximum trajectory error was 3.43 mm, with a master-slave control delay of 0.304 s. Suturing operation with a laparoscopic simulator showed the robot can grasp and suture tissues more easily.

conclusionsThis electric surgical device showed advantages in master-slave trajectory consistency, usability, and finger-controlled operation mode. The proposed control approach can also be applied to other rope-driven continuum robotics.

Indexed as

Articulated end effectorContinuumLaparoscopeMaster-slave controlQuick change

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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.