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Soft Robot Process Automation Patents: Who Leads, Gaps 2026

Soft Robot Process Automation Patents: Who Leads, Gaps 2026
https://www.patsnap.com/resources/blog/rd-blog/soft-robot-process-automation-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Robotics & Automation
Soft Robot Process Automation Patents: Filing Trends and White Space
  • Filing peaked in 2021 at 16 records and has cooled since — the midpoint year of 2022 sits at just 3, so this is a field that surged and then went flat rather than one still climbing.
  • Diagnosis and surgery claims dominate the technology mix A61B accounts for 17 of the classified records, ahead of printed-circuit fabrication (H05K, 13) and plastics shaping (B29C, 10) — actuator IP here is being built around medical applications first.
  • The United States receives more than twice the filings of any other office 31 records land at the USPTO versus 14 at WIPO and 10 in India, meaning a freedom-to-operate check that stops at the US misses a meaningful share of the corpus.
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68
Published Records
65%
Top-5 Share of All Records
-56%
3-Yr Growth (lag-adjusted)
US
Leading Jurisdiction
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What the corpus actually covers

The 68 patent families in this dataset sit at the intersection of soft robotics and the manufacturing methods needed to produce it at any scale — molding automation, scalable composite fabrication, and printed-circuit-style conductive patterning for flexible actuators. The search deliberately excludes soft-robot control theory and grasping mechanics that carry no fabrication claim, so what remains is process IP: how a soft actuator, sleeve or sensor gets made repeatably rather than how it behaves once built. Filing activity is concentrated in a five-year window centred on 2021, not spread evenly across the coverage period.

Because publication lags filing by roughly 18 months, the 2025 and 2026 counts in the trend line are undercounts rather than a genuine drop-off — treat the most recent one to two years as provisional. The technology composition also crosses conventional boundaries: bioreactor apparatus (C12M) and microorganism engineering (C12N) both appear because several fabrication routes for soft actuators borrow tissue-engineering and biomaterial processes rather than conventional polymer molding alone.

Filing activity by year, 2017–2026
  1. 1CORNELL UNIVERSITY18
  2. 2THE GOVERNING COUNCIL OF THE UNIV OF TORONTO7
  3. 3BETH ISRAEL DEACONESS MEDICAL CENT INC7
  4. 4MASSACHUSETTS INST OF TECH7
  5. 5RGT UNIV OF CALIFORNIA5
  6. 6YALE UNIVERSITY4
  7. 7PURDUE RES FOUND4
  8. 8PRESIDENT & FELLOWS OF HARVARD COLLEGE3
  9. 9NAGPAL RADHIKA2
  10. 10WOOD ROBERT J2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Soft Robot Process Automation 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 Data

Filing trend and technology composition

Two views of the same 68 families: when the filings happened, and which IPC subclasses they landed in.

Filings by year

Zero recorded activity in 2017 rising to a peak of 16 in 2021, then falling back toward single digits — a pattern more consistent with a research wave that has already crested than with an accelerating commercial land grab.

Filings by year0510152002017201820192020162021202220232024202532026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass distribution

A61B (diagnosis and surgery) leads at 17, with H05K (printed circuits, 13) and B29C (plastics shaping, 10) close behind. The presence of C12N and C12M alongside conventional shaping and circuit classes signals that a meaningful slice of this art treats soft actuator fabrication as a materials-biology problem, not just a molding problem.

IPC subclass distributionA61B · Diagnosis & surgery1725.0%H05K · Printed circuits & assemblies1319.1%B29C · Shaping of plastics1014.7%C08J · Polymer processing & solutions913.2%G02B · Optical elements & systems811.8%C12N · Microorganisms & genetic engin…710.3%A61L · Sterilising & disinfecting68.8%C12M · Bioreactors & enzyme apparatus68.8%Other75110.3%

Shares are the percentage of the 68 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 Soft Robot Process Automation covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

The records other filings build on

Representative Filing
WO2023168460A22023-09-07

Scalable manufacturing of sustainable composite materials with tunable thermoregulating properties

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Methods for large scale fabrication of thermoregulating composite materials and parts comprising thereof are described, as well as methods for heat management using the same. The fabrication methods are easily scalable, highly modular, inexpensive, and capable of producing large area, thin, flexible films of any shape, and having tunable dynamic heat-management properties actuated via low energy input mechanical strain.Filed by The Regents of the University of California, published 2023-09-07 as WO2023168460A2.

WO2023168460A2 — patent drawing 1WO2023168460A2 — patent drawing 2
View full filing
Most-cited records in this corpus
#Publication no.Patent titleCitations
1WO2013033669A2Actively controlled wearable orthotic devices and active modular elastomer sleeve for wearable orthotic devic…82
2US20150088043A1Actively controlled wearable orthotic devices and active modular elastomer sleeve for wearable orthotic devic…82
3US20200296825A1Liquid metal circuits and methods of making the same41
4US20160049227A1Method of producing conductive patterns of nanoparticles and devices made thereof34
5US20200283121A1Elastic Shape Morphing of Ultra-light Structures by Programmable Assembly12
6US20220155506A1Deformable photonic materials and related methods9
7US20180215088A1Fluidic systems, devices and methods for inducing anisotropy in polymeric materials7
8US20210410283A1Biphasic material and stretchable circuit board6
9US20240271338A1Twisted coiled polymer artificial muscles and continuous textile manufacturing methods for the same4
10WO2017015750A1Fluidic systems, devices and methods for inducing anisotropy in polymeric materials3

Citation counts reflect influence within this searched corpus and skew toward older filings — treat them as a map of foundational art, not a ranking of current relevance.

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 Soft Robot Process Automation 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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Insights

What the numbers mean for a filing decision

Three patterns stand out once the raw counts are read against each other.

Citation Concentration
82 citations
shared by two linked orthotic-sleeve filings

Foundational orthotics IP sits at the top of the citation graph

The two most-cited records in the corpus — a WO and its US counterpart, both on actively controlled wearable orthotic devices with a modular elastomer sleeve — carry far more citations than anything else in the set. New actuator-sleeve designs are likely to be read against this pair during examination.

Citation counts favour older records; treat this as a map of prior art, not current relevance.
Geographic Spread
31 US filings
vs. 14 at WIPO and 10 in India

Filing strategy is US-anchored but not US-only

India's 10 filings and Europe's 9 are large enough that a freedom-to-operate review limited to the US and PCT stages will still miss a real slice of the corpus, particularly around lower-cost fabrication claims.

Receiving-office counts, not granted-patent counts.
Filing Momentum
16 → 3
peak year (2021) to midpoint year (2022)

The surge has already passed its peak

Activity dropped sharply after 2021 rather than climbing steadily toward it, and several of the most active universities in the assignee ranking show zero filings in the latest year. This reads as a field consolidating around established claims rather than one still in a land-grab phase.

Most recent 1-2 years are understated due to publication lag.
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to soft robot process automation, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Soft Robot Process Automation 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 holds the claims

University research offices dominate the assignee list, with collaboration pairs pointing to a small number of labs that co-file repeatedly.

Collaboration Density
7 co-filings
strongest assignee pair in the dataset

Medical-center and university pairs file together repeatedly

The strongest co-assignee pair in the corpus links a medical center to a university research office across 7 shared families, well ahead of the next pairs at 3 each. That concentration suggests a single long-running lab collaboration rather than broad industry cross-filing.

Co-assignee pairs: 10 total across the corpus.
Filing Momentum
0 in latest year
across multiple leading assignees

Several top-ranked universities have gone quiet recently

Assignees that built up meaningful families earlier in the coverage window — including major US research universities — show no filings in the most recent year tracked. Some of this is publication lag, but the pattern is consistent enough across multiple assignees to suggest genuine slowdown, not just reporting delay.

Recency figures should be read alongside the 18-month publication lag.
Institutional Base
68 families
total across the ranking

Academic and hospital-affiliated assignees outnumber corporate filers

The assignee ranking is populated primarily by university offices and a medical center rather than device manufacturers, indicating that much of the fabrication IP in this space has not yet been licensed or spun into commercial-stage filings.

Ranking covers all 68 families with an identified assignee.
🔍
Under-claimed sub-areas worth checking before filing
Branches that sit adjacent to the dense claim clusters but show comparatively little dedicated activity in this corpus.
Bioreactor-integrated actuator curingConductive liquid-metal patterning at scaleTunable thermoregulating composite filmsAutomated demolding for elastomer sleevesSterilization-compatible actuator materials
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Cornell University0-100%
Massachusetts Institute of Technology0
Beth Israel Deaconess Medical Center0
Governing Council of the University of Toronto0
The Regents of the University of California0
Yale University0
Purdue Research Foundation0
Cornell University Center for Technology Licensing0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Soft Robot Process Automation 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

The dataset points to a field past its filing peak but still holding open branches. Two directions follow from that.

Check the fabrication-process claims before designing around the orthotic-sleeve art

The two most-cited filings in this corpus cover a modular elastomer sleeve construction that shows up repeatedly in citation chains — any new wearable actuator design should be checked against it directly rather than assumed clear.

Explore the citation network in Eureka

Track whether the 2025-2026 dip is real or a lag artifact

With publication running about 18 months behind filing, the apparent drop after 2021 needs revisiting once later-year data fills in — a premature read of decline could miss a re-acceleration already underway.

Set up filing-trend alerts in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Soft Robot Process Automation 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 on soft robot process automation patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Soft Robot Process Automation 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.

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