The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Motion capture and AR based programming by demonstration for industrial robots using handheld teaching device
Open accessAbstract
In the industrial robots field, efficient and convenient programming methods have been a hot research topic. In recent years, immersive simulation technology has been developing rapidly in many fields, which provides new horizons for the development of industrial robots. This paper presents a HTC VIVE laser scan motion capture and Holohens augmented reality (AR) based interactive Programming by Demonstration (PbD) system for industrial robot. A portable Handheld Teaching Device (HTD) and its calibration algorithm are designed in the system. The portable HTD which is tracked by a laser motion capture system can be viewed as an AR robot end-effector to teach paths. Meanwhile, the AR robot can be simulated in real time during programing. In addition, the robot reproducing the operator's actions at the same position in space is the focus of programming. So, Multi-system registration methods are proposed to determine the relationship between robot systems, motion capture systems and virtual robot systems. Meanwhile, a path planning algorithm is proposed to convert the captured raw path points into robot-executable code. For unskilled operators, they can easily perform complex programming using the HTD. For skilled senior workers, their skills can be quickly learned by robots using the system.
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“e Industrial robot using motion capture to assist and learn from the operator's wor, reprinted/adapted with permission from 39 ;”
From Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction (2026) · cites this paper as [39]
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Metadata
- Authors
- Liu, G., Sun, W., & Li, P.
- Affiliations
- Xinjiang University (CN)
- Corresponding author
- Sun, Wenlei
- Venue
- Scientific Reports
- Published
- 2024-10-06
- Volume
- 14
- Issue
- 1
- Pages
- 23259-23259
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC11456608
- OpenAlex
- W4403162214
- Cited by
- 17
- References
- 41
- Citations by year
- 2026: 10 · 2025: 7
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Scientific Reports (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- The Science and Technology Development Program Projects in Region (2022LQ03007)
- The Key Laboratory Open Fund in Autonomous Region (2020520002)
- The Key Research and Development Program in Autonomous Region (202003129)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Keywords
- industrial robots, programming by demonstration, augmented reality, motion capture, robot programming, path planning, HTC Vive, Microsoft HoloLens, immersive simulation
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