ArticleScientific reports2025
Analysis of collaborative robot technology patent map and research on development trends.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- A CD index guided ensemble framework for screening potentially disruptive patent candidates in artificial intelligence.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study conducts a systematic analysis of global patents in the field of collaborative robot technology based on applications and type of industry. The data analyzed derives from the PatSnap database covering 30,425 patents from 2006 to 2025, using explicit keywords such as "collaborative robot" to ensure specificity, with procedural filters and manual curation applied to maximize relevance and accuracy. The research focuses on patent application trends, technological hotspots, geographical distribution, as well as applicant and inventor analyses, providing a comprehensive overview of the innovation landscape and development trends in this domain. The findings indicate that collaborative robot technology has undergone three distinct phases: the initial emergence period, a phase of rapid growth, and a subsequent slowdown, and it is now transitioning into a stage of mature development. This apparent recent slowdown is significantly influenced by the standard 18-month lag in patent publication, meaning current data for the latest years is incomplete. Invention patents dominate the field, reflecting a high level of technological innovation. From a geographical perspective, the United States and China serve as the primary global innovation hubs, with their patent application volumes significantly surpassing those of other countries. In terms of applicants, multinational corporations such as Qualcomm, Intel, BRIGHT DATA LTD, and NVIDIA lead in patent filings, while emerging enterprises have demonstrated notable growth in patent applications, injecting new vitality into the industry. Furthermore, through patent citation analysis and market value assessment, this study identifies high-value patents and key technological areas, offering valuable insights for future technological advancements and market strategies. Based on these findings, the study proposes recommendations to further promote the sustainable development of collaborative robot technology, including strengthening technological innovation, optimizing market positioning, fostering emerging enterprises and talent, enhancing international cooperation, and aligning with policy directions.
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Registered trials
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.