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Run your analysis now →https://www.patsnap.com/resources/blog/rd-blog/surgical-robot-training-and-skill-assessment-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Surgical RoboticsSurgical robot training and skill assessment patents: mapping who owns the claim space
- 43.9% concentration. The top 5 of 100 ranked assignees together hold 112 of all 255 records in scope, well over four in ten filings.
- Educational aids dominate the classification. G09B (educational & demonstration aids) touches 72.9% of records, nearly double A61B's 33.7% share of diagnosis-and-surgery classifications.
- Growth is real but modest. Filings rose from 10 in 2021 to 12 in 2024, a +20% increase over that three-year span, before the most recent two years understate activity due to publication lag.
255
Published Records
44%
Top-5 Share of All Records
+20%
Filing Growth 2021→2024
US
Leading Jurisdiction
Filing growth compares 2021 (10 records) with 2024 (12) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 255 records in scope (CR5), not by the ranked leaders only.
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview
What this landscape covers
This landscape tracks 255 published patent records filed against surgical simulator, skill-assessment and robotic-training terminology, cross-referenced with virtual reality modules, objective metrics, learning curves, proficiency thresholds, haptic realism and credentialing concepts. The scope runs from 2015 through the 2026-07-31 data cut-off, capturing both device-side simulation hardware and the software layer that scores a trainee's performance against a reference trajectory.
Records are drawn across major receiving offices, with the United States accounting for the largest single share of filings, followed by Europe, the WIPO PCT route, and India. Because a single record can carry multiple IPC classes, the technology composition below sums to more than 100% of records — that overlap itself is informative, showing how tightly the educational-aid classification and the surgical-diagnosis classification intersect in this field.
Filing activity and technology composition, 2015-2026
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Surgical Robot Training and Skill Assessment covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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The Numbers
Filing trends and technology composition
Two views of the same 255-record dataset: the year-by-year filing count, and the IPC subclasses those records fall into.
Filing trend, 2017-2026
Filings climbed from 12 in 2017 to a peak of 29 in 2025, with 2021-to-2024 showing a +20% increase (10 to 12 records) over that span. Because publication lags filing by roughly 18 months, the 2025 and 2026 counts (29 and 5 respectively) are still incomplete and should not be read as a falloff.
Technology composition by IPC subclass
G09B (educational and demonstration aids) appears in 72.9% of the 255 records, far ahead of A61B (diagnosis and surgery) at 33.7%. Smaller but active clusters sit in G06Q business-process data handling (9.0%), G06F digital data processing (6.7%), G06T image processing (6.3%), G06N AI-based computing (5.1%), G16H healthcare informatics (4.7%) and A63B sports/gymnastics equipment (3.1%) — the last suggesting some cross-pollination from athletic motion-training patents.
Shares are the percentage of the 255 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Surgical Robot Training and Skill Assessment covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.
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Most-cited records and a representative filing
Representative Filing
Method and system for analyzing a task trajectory (US20140378995A1)
INTUITIVE SURGICAL OPERATIONS, INC.
A computer-implemented method that obtains position and pose information of an instrument during a sample task trajectory, compares it against reference position and pose information for a reference trajectory, and outputs a skill assessment based on that comparison.Filed by Intuitive Surgical Operations, Inc., published 2014-12-25.
Highest-citation records in scope
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20170061817A1 | System for movement skill analysis and skill augmentation and cueing | 334 |
| 2 | US20040126746A1 | Medical physiological simulator including a conductive elastomer layer | 278 |
| 3 | US20050214727A1 | Device and method for medical training and evaluation | 236 |
| 4 | US20140287393A1 | System and method for the evaluation of or improvement of minimally invasive surgery skills | 235 |
| 5 | US20110020779A1 | Skill evaluation using spherical motion mechanism | 209 |
| 6 | US20180338806A1 | Surgical simulation system using force sensing and optical tracking and robotic surgery system | 198 |
| 7 | US10806532B2 | Surgical simulation system using force sensing and optical tracking and robotic surgery system | 198 |
| 8 | US7857626B2 | Medical physiological simulator including a conductive elastomer layer | 172 |
| 9 | US6083163A | Surgical navigation system and method using audio feedback | 161 |
| 10 | US20190009133A1 | Systems and methods for data-driven movement skill training | 152 |
Citation counts reward older filings that have had more time to accumulate references — read them as a signal of influence within this corpus, not as a ranking of current technical importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Surgical Robot Training and Skill Assessment covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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What the data tells a filing strategy
Three read-throughs from the concentration, classification and citation figures above.
Concentration
43.9%
of 255 records held by top 5 assignees
The field has a clear head and a long tail
112 of 255 records sit with just five of the 100 ranked assignees, and the top 10 combined reach 61.6% (157 records). That leaves a substantial tail of single- or low-filing entrants — a workable entry point for teams that can differentiate on a narrow claim rather than competing head-on with the leader.
Based on the full 255-record assignee ranking
Classification overlap
72.9% / 33.7%
G09B vs A61B share of records
Educational-aid claims outnumber surgical-diagnosis claims two to one
Nearly three-quarters of records classify under G09B (educational and demonstration aids), while only a third also touch A61B (diagnosis and surgery). That split indicates most patent activity protects the training and scoring apparatus itself, not the underlying surgical procedure — a distinction that matters when assessing freedom to operate.
Shares computed against all 255 records; a record may carry both classes
Momentum
+20%
filing growth, 2021 to 2024
Growth is steady, not explosive
The three-year window from 2021 to 2024 — the last span unaffected by publication lag — shows filings rising from 10 to 12 records. That is measured growth rather than a surge, consistent with a field where the core simulation and scoring claims were staked out earlier and later filings refine rather than reinvent them.
2021-2024 is the most recent complete comparison window
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Co-filing patterns
| Assignee | Co-assignee | Shared families |
|---|---|---|
| KESAVADAS THENKURUSSI | GURU KHURSHID | 11 |
| Johns Hopkins University | Intuitive Surgical Operations, Inc. | 7 |
| Health Research, Inc. | KESAVADAS THENKURUSSI | 6 |
| Health Research, Inc. | GURU KHURSHID | 6 |
| MEDICAL SIMULATION CORP | YOUNKES WILLIAM | 4 |
| KESAVADAS THENKURUSSI | SRIMATHVEERAVALLI GOVINDARAJAN | 3 |
| GURU KHURSHID | SRIMATHVEERAVALLI GOVINDARAJAN | 3 |
| MEDICAL SIMULATION CORP | WILSON DAVE EARLE | 2 |
Ten co-assignee pairs appear in the dataset. The strongest pairing links two individual co-inventors at 11 shared records, with university-industry and research-institute pairings following at 7 and 6 shared records — evidence that some of the deepest technical work here comes out of academic-industry partnerships rather than single-company R&D.
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Surgical Robot Training and Skill Assessment covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players
Who is filing, and where the next mover could enter
The leader holds 46 records; the field then steps down to 13 at fifth place and 6 at tenth, meaning the gap between the top assignee and everyone else is wide but not unbridgeable.
Leader
46
records held by the top-ranked assignee
One assignee sets the pace
The leading assignee's 46 records dwarf the fifth-place count of 13, giving it an outsized voice in claim scope around simulator scoring and skill-assessment methods. That scale advantage is a filing-history effect as much as a technical one — a large back-catalogue of continuations and jurisdictional refilings.
Counted in the 255-record scope
Mid-tier
13 → 6
records from 5th to 10th place
A competitive second tier
Between fifth and tenth place, record counts fall from 13 to 6 — still enough activity to indicate active portfolios rather than opportunistic single filings. This tier includes university research groups and simulation-device specialists working alongside the largest surgical robotics platform holders.
Based on the 100-company ranked list
Momentum
-75% YoY
one tracked assignee's latest-year change
Recent-year filings are thin across the board
Most tracked assignees show zero records in the latest year, and even an active filer like Appl Medical Resources Corp shows only 1 record, down 75% year-on-year. Given the roughly 18-month publication lag, this reads as incomplete data rather than a genuine pullback — recent-year figures should be treated as provisional.
Latest-year figures are provisional due to publication lag
Recent-year filing momentum by assignee
| Assignee | Recent year | YoY |
|---|---|---|
| APPL MEDICAL RESOURCES CORP | 1 | -75% |
| MEDICAL SIMULATION CORP | 0 | — |
| Johns Hopkins University | 0 | — |
| Health Research, Inc. | 0 | — |
| iCueMotion LLC | 0 | — |
| UPSURGEON SRL | 0 | — |
| KESAVADAS THENKURUSSI | 0 | — |
| GURU KHURSHID | 0 | — |
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Surgical Robot Training and Skill Assessment covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next
Where to take this analysis
The dataset points to a field with a dominant filer, a thin recent-year record set due to publication lag, and classification overlap that rewards a closer read of individual claims.
Check freedom to operate against the top assignee's portfolio
With 46 records concentrated in one company's hands, any new skill-assessment or trajectory-comparison method should be checked claim-by-claim against that portfolio before development proceeds.
Run a freedom-to-operate search in Eureka →Probe the under-claimed branches
Haptic realism calibration and AI-based skill-curve prediction show thinner filing density than the core G09B educational-aid cluster, suggesting room for a defensible first claim.
Explore white space in Eureka →Revisit the trend once 2025-2026 data matures
Publication lag means the last two years understate real filing activity; a follow-up pull in twelve months will give a truer read on whether the 2021-2024 growth rate held.
Track this landscape in Eureka →Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Surgical Robot Training and Skill Assessment covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ
Common questions about this landscape
This landscape covers 255 published patent records filed between 2015 and the 2026-07-31 data cut-off, matched against terminology like surgical simulator, skill assessment, robotic training, virtual reality modules and proficiency thresholds. The United States is the largest single receiving office with 95 records, followed by Europe and the WIPO PCT route at 40 each. Because publication lags filing by around 18 months, the true 2025-2026 filing count will be higher than currently shown once later publications catch up.
The ranking covers 100 assignees, with the leader holding 46 of the 255 records in scope — a sizeable lead over the fifth-place holder at 13 and tenth place at 6. Together, the top 5 assignees hold 43.9% of all records and the top 10 hold 61.6%, so ownership is concentrated but not monopolised. Below that top tier sits a long list of single- or low-filing entrants, including university labs and smaller simulation-device makers.
The dominant IPC classification is G09B, educational and demonstration aids, appearing in 72.9% of the 255 records — this covers the simulator hardware and training-scenario design. A61B, diagnosis and surgery, appears in 33.7% of records, usually where the training device overlaps with an actual surgical instrument or procedure. Smaller clusters cover AI-based scoring (G06N, 5.1%), image processing for motion tracking (G06T, 6.3%) and healthcare informatics integration (G16H, 4.7%).
Filings grew from 10 records in 2021 to 12 in 2024, a +20% increase over that three-year span, which is the most recent window that can be treated as complete. The peak year on record so far is 2025 with 29 records, but because publication typically lags actual filing by about 18 months, both 2025 and 2026 figures are still filling in and should not be read as a slowdown. A clearer picture of the current trajectory will only emerge once those later years finish publishing.
US20140378995A1, filed by Intuitive Surgical Operations, Inc. and published 2014-12-25, covers a computer-implemented method that compares an instrument's position and pose during a sample task against reference position and pose data, then outputs a skill assessment from that comparison. Anyone building a system that scores trainee performance by benchmarking recorded instrument trajectories against a reference path should review this claim scope closely. Because it is one of the most-cited records in this dataset, it has likely shaped how later filers frame their own trajectory-comparison and scoring claims to design around it.
Answers are grounded in the same dataset. Derived from a Patsnap search on Surgical Robot Training and Skill Assessment covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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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.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.