Evidence map›Paper›PMID 38132530›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Whole-Body Teleoperation Control of Dual-Arm Robot Using Sensor Fusion.

Feilong Wang, Furong Chen, Yanling Dong, Qi Yong, Xiaolong Yang, Long Zheng, Xinming Zhang, Hang Su

Open access · goldAbstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 4 institutions in 2 countries.

Feilong WangCollege of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, China.ORCID 0009-0003-0556-258X
Furong ChenCollege of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Yanling DongSchool of Foreign Languages, Shandong University, Jinan 250100, China.
Qi YongESIEE Paris, 93160 Noisy-le-Grand, France.
Xiaolong YangCollege of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, China.ORCID 0000-0002-9612-8572
Long ZhengKey Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China.
Xinming ZhangCollege of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Hang SuWeihai Institute for Bionics, Jilin University, Weihai 264402, China.ORCID 0000-0002-6877-6783
Changchun University of Science and Technology · CNJilin University · CNShandong University · CNUniLaSalle Amiens (ESIEE-Amiens) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As human-robot interaction and teleoperation technologies advance, anthropomorphic control of humanoid arms has garnered increasing attention. However, accurately translating sensor-detected arm motions to the multi-degree freedom of a humanoid robotic arm is challenging, primarily due to occlusion issues with single-sensor setups, which reduce recognition accuracy. To overcome this problem, we propose a human-like arm control strategy based on multi-sensor fusion. We defined the finger bending angle to represent finger posture and employed a depth camera to capture arm movement. Consequently, we developed an arm movement tracking system and achieved anthropomorphic control of the imitation human arm. Finally, we verified our proposed method's effectiveness through a series of experiments, evaluating the system's robustness and real-time performance. The experimental results show that this control strategy can control the motion of the humanoid arm stably, and maintain a high recognition accuracy in the face of complex situations such as occlusion.

Indexed as

humanoid armsensor fusionteleoperation

Identifiers

PMID38132530
PMCPMC10741906
OpenAlexW4389347614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.