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Exoskeleton Robot Patent Landscape 2026

Exoskeleton Robot Patent Landscape 2026
Competitive Landscape

Exoskeleton Robot Patent Landscape in 2026

The exoskeleton robot patent field has reached a maturity stage, with annual filings plateauing near their 2023 peak and a broad mix of academic institutions, defense agencies, and commercial firms competing across 1,649 patent families. China dominates both filing volume and institutional representation, while a handful of US and Taiwanese players hold concentrated positions in specific technology routes.

1,649
Patent families in scope
22%
Top-5 share of top-100 filers
+18%
3-yr filing growth (lag-adj.)
China
Leading jurisdiction
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Published byPatSnap Insights Team··8 min readVerified by PatSnap Eureka data
Overview

A fragmented field with a narrow leading tier

Strong Force VCN Portfolio 2019 LLC leads with 64 patent families, followed closely by the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences with 63 and Harbin Institute of Technology with 47. The top five applicants together account for 22% of the combined output of the hundred largest filers, indicating a field where no single actor holds commanding dominance.

The tier gap between the first-ranked applicant and the rest of the top five is narrow — a spread of roughly 19 families from first to fifth — suggesting that lead positions are contestable and that multiple challengers operate at comparable scale. Beyond the top five,

Leading applicants
#ApplicantPatent familiesShare
1Strong Force VCN Portfolio 2019 LLC64
2Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences63
3Harbin Institute of Technology47
4ATR Advanced Telecommunications Research Institute International45
5Sarcos Corp45
6Mebotx Intelligent Technology (Suzhou) Co., Ltd.30
7Free Bionics Taiwan Inc.29
8Agency for Defense Development28
9Hangzhou Roboct Technology Development Co., Ltd.25
10Guizhou Aerospace Control Technology Co., Ltd.23
#ApplicantPatent familiesShare
11Xi’an Jiaotong University22
12Roam Robotics Inc.21
13NANJING UNIV OF SCI & TECH20
14The 21st Research Institute of China Electronics Technology Group Corporation19
15Hyundai Motor Co., Ltd.18
16Beijing Research Institute of Precise Mechatronics and Controls18
17KOREA ADVANCED INST OF SCI & TECH16
18Shenzhen Milebot Robotics Co., Ltd.16
19ULS Robotics Co., Ltd.16
20Zhejiang University15
↗ Hover a row · click a company to ask Eureka

The presence of university and public-research institutions (Harbin Institute of Technology, Xi’an Jiaotong University, Shenzhen Institute of Advanced Technology) among the top five implies that foundational, platform-level IP is still being generated in academic settings, creating both licensing opportunities and freedom-to-operate considerations for commercial entrants.

Filings from 2024 onward are subject to publication lag and should be treated as undercounts; the apparent softening in 2024–2026 data does not necessarily reflect a real decline in inventive activity. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: PatSnap Eureka. Chart shows the top applicants ranked by patent families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope.Explore deeper in Eureka →
Trends & Structure

Plateauing annual volume and a robot-mechanics-dominant technology mix

Two structural features define the current landscape: annual filing volume that built steadily from 2017 to a 2023 peak and has since eased, and a technology composition dominated overwhelmingly by manipulator and robot mechanics, with medical and rehabilitation branches as meaningful but smaller secondary clusters.

Annual filing trend

Filings rose from 130 in 2017 to a peak of 234 in 2023, then eased to 197 in 2024. The 2025 and 2026 figures (167 and 23 respectively) are heavily affected by publication lag and should not be read as a structural decline. The 18% recent-window growth confirms the multi-year trajectory remains positive even as annual volume has moderated from its peak.

Annual filing trendAnnual values from 2017 to 2026, peaking at 234 in 2023.130201714120181572019168202022020212122022234202319720241672025232026↗ Hover for values · click a bar to ask Eureka

Technology composition

The B25J manipulators and robots class accounts for the largest share of records by a wide margin, reflecting the mechanical and kinematic foundations of exoskeleton design. The A61H physical therapy and massage class is the next most prominent, confirming that rehabilitation and assisted-motion applications are the primary medical use case. Further down, A61B (diagnosis and surgery), A61F (implants and prostheses), and G06F (digital data processing) signal growing interest in sensor integration, control software, and clinical applications.

Technology compositionB25J · Manipulators & robots leads with 1,839; A61H · Physical therapy & massage 562.B25J · Manipulators & ro…1,839A61H · Physical therapy …562A61B · Diagnosis & surgery109A61F · Implants & prosth…109G06F · Electric digital …88A63B · Sports & gymnasti…73G05B · Control & regulat…54G06N · Computing based o…52↗ Hover for values · click a bar to ask Eureka
Source: PatSnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US10624809B2Published 2020-04-21

Exoskeleton robot and controlling method for exosk…

Free Bionics Taiwan INC.

The present disclosure provides a method for controlling an exoskeleton robot. The method comprises checking that a first signal is triggered by a first button, checking a tilt angle after the first signal is triggered, setting an action based on the tilt angle, and executing the action to move the exoskeleton robot. The first signal indicates to change the… (excerpt from the patent abstract)

Exoskeleton robot and controlling method for exosk… — patent drawingExoskeleton robot and controlling method for exosk… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Robot Fleet Management for Value Chain Networks322
2Job Parsing in Robot Fleet Resource Configuration311
3Soft Exosuit for Assistance with Human Motion284
4Soft exosuit for assistance with human motion258
5Systems, methods, kits, and apparatuses for edge-d…120
6Motion system with plurality of stewart platform b…102
7Robotic Fleet Configuration Method for Additive Ma…101
8具有反力矩结构的虚拟力控制下肢外骨骼机器人100

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: PatSnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Insights

What the competitive structure means for R&D investment

The combination of a maturing filing curve, a moderately concentrated leader tier, and identifiable under-served branches provides actionable signals for teams deciding where to build, buy, or license IP.

Maturity

Field has plateaued near its 2023 peak

Annual filings have plateaued near their 2023 peak of 234 families, placing the field in a maturity stage. The multi-year window still shows positive growth of 18%, but the pace of new entry is decelerating. Teams entering now face a denser prior-art landscape and should prioritize differentiated claims rather than broad platform filings.

Lifecycle: Maturity
Concentration

Narrow tier gap keeps competition open

The top five filers’ 22% share of the hundred largest filers’ combined output, spread across only a 19-family range from first to fifth, means no applicant holds a blocking position across the full technology space. The long tail of sub-25-family participants leaves room for focused challengers to establish leadership in specific sub-domains such as soft actuators, AI-driven control, or pediatric rehabilitation.

HHI: Moderate
Collaboration

ATR–Osaka University partnership is the most active co-filing pair

The most frequent co-filing relationship in the dataset is between ATR Advanced Telecommunications Research Institute International and Osaka University, with 11 joint patent families. Guizhou Aerospace Control Technology and Aerospace Jiangnan Group follow with 7 joint families. Xi’an Jiaotong University and Xi’an Honghui Hospital represent a clinically oriented academic-hospital collaboration. These pairings suggest that productive R&D alliances tend to cross institutional type — industry-with-academia or defense-with-industry — rather than forming within a single sector.

Collaboration active
Geography

China dominates filings; US, Korea, and Europe are secondary markets

China accounts for the largest concentration of patent records, followed by the United States, South Korea, Europe (EPO), and WIPO (PCT). Germany and Japan each represent a smaller but meaningful presence. The relative scarcity of PCT and EPO filings compared to Chinese domestic filings indicates that many Chinese applicants have not yet pursued broad international protection, which may create freedom-to-operate for non-Chinese market entrants in the near term.

Lead office: China
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Top collaboration links
ApplicantCollaboratorCo-filings
ATR Advanced Telecommunications Research Institute InternationalOsaka University11
Guizhou Aerospace Control Technology Co., Ltd.Aerospace Jiangnan Group Co., Ltd.7
Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesChongqing University1
Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesShenzhen Institute of Advanced Technology1
Hangzhou Roboct Technology Development Co., Ltd.Wuxi Roboct Technology Development Co., Ltd.1
Guizhou Aerospace Control Technology Co., Ltd.Guizhou University1
Xi’an Jiaotong UniversityXi’an Honghui Hospital1

Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: PatSnap Eureka. Insights are derived from applicant ranking, collaboration pairs, jurisdiction distribution, and lifecycle stage in the evidence.Explore insights →
Leaders

Strong Force VCN and Shenzhen SIAT lead by volume; Sarcos and Harbin lead in applied mechanics

The leading applicants split into two profiles: portfolio aggregators with broad cross-domain claims, and research-intensive institutions with deep mechanical and rehabilitation-focused IP. Understanding each player’s technology emphasis and recent filing momentum is essential for mapping freedom-to-operate and identifying partnership targets.

Leader · Strong Force VCN Portfolio 2019 LLC

Strong Force VCN Portfolio 2019 LLC

The top-ranked applicant holds 64 patent families, with its technology emphasis concentrated in business and administrative data processing (G06Q), manipulators and robots (B25J), and control of non-electric variables (G05D). Its momentum is flagged as a new entrant in the recent period with 63 recent filings, suggesting a rapid portfolio build rather than a long-standing organic R&D program. This profile is consistent with an IP aggregation strategy rather than product commercialization.

families: 64
Challenger · Sarcos Corp

Sarcos Corp

Sarcos holds 45 patent families and ranks fifth overall, with technology emphasis across manipulator and robot mechanics sub-classes (B25J9, B25J17, B25J15). Its recent filing momentum is classified as a new entrant with 34 recent families, indicating a concentrated push in the most recent measurement period. As a commercial exoskeleton developer, Sarcos’s filings are more product-aligned than those of academic or aggregator players, making it a significant reference point for freedom-to-operate analysis in industrial and defense applications.

families: 45
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Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesHyundai Motor Co., Ltd.+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Strong Force VCN Portfolio 2019 LLC63▲ new entrant
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences10▼ -58%
Harbin Institute of Technology7▲ new entrant
Sarcos Corp34▲ new entrant
Free Bionics Taiwan Inc.1▲ new entrant
Agency for Defense Development2▲ new entrant
Hangzhou Roboct Technology Development Co., Ltd.8▼ -43%
Guizhou Aerospace Control Technology Co., Ltd.12▲ new entrant
Source: PatSnap Eureka. Player cards cite patent family counts from the applicant ranking and technology focus from IPC sub-class analysis.Explore players →
Adjacent Branches

Under-served routes adjacent to the mechanical core

Several IPC branches adjacent to the dominant B25J mechanics cluster show relatively low patent record counts, representing areas where the inventive density has not yet matched apparent technical relevance. These observations reflect current sparsity and should be evaluated against a team’s specific capabilities before treating them as investment targets.

A61B · Diagnosis & surgery integration

With 109 patent records, A61B sits at only 3% of the distribution despite the clear clinical relevance of exoskeletons in surgical assistance, intraoperative positioning, and post-operative rehabilitation measurement. The gap between A61H (rehabilitation, 562 records) and A61B (diagnosis and surgery, 109 records) suggests that the surgical-assistance application space is meaningfully under-developed relative to rehabilitation. Teams with both robotic mechanics expertise and regulatory pathway experience in medical devices could find differentiated claim space here.

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G05B · Control & regulating systems

G05B (control and regulating systems) accounts for 54 patent records at 2% of the distribution, a low count relative to the volume of robot-mechanics filings in B25J. Given that advanced adaptive control — including impedance control, model-predictive control, and real-time gait adaptation — is a primary performance differentiator in exoskeleton systems, the sparsity in G05B suggests that control-architecture IP may be underprotected or filed primarily under B25J sub-classes. Applicants with proprietary control algorithms may find room to establish distinct positions in this branch.

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See all adjacent branches with sparsity scores, representative filers, and suggested search strings for each under-served technology area.
A61F · Implants & prostheses integrationA63B · Sports & gymnastics performance augmentation+ more
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Source: PatSnap Eureka. Adjacent branch counts are at the patent-record level; a single family filing across multiple IPC classes can appear in more than one branch.Explore emerging →
Route Matrix

How leading applicants differ by technology sub-class emphasis

Strength of each leader across the main technology routes.

PlayerB25J 9 · Manipulators & robotsA61H 3 · Walking aids & exoskeletonsA61H 1 · Physical therapy & massageB25J 17 · Manipulators & robotsB25J 19 · Manipulators & robots
Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesStrong · 53Moderate · 17Moderate · 14Moderate · 21Absent
Harbin Institute of TechnologyStrong · 47AbsentEmerging · 6Moderate · 12Absent
ATR Advanced Telecommunications Research Institute InternationalAbsentStrong · 21Moderate · 9Moderate · 5Strong · 22
Sarcos CorpStrong · 31AbsentAbsentModerate · 13Moderate · 9
Strong Force VCN Portfolio 2019 LLCStrong · 45AbsentAbsentAbsentAbsent
Agency for Defense DevelopmentStrong · 26AbsentAbsentAbsentStrong · 15
Hangzhou Roboct Technology Development Co., Ltd.Strong · 22AbsentAbsentModerate · 5Moderate · 11
Source: PatSnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
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Disclaimer. This page is generated from PatSnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. PatSnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

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