Book a demo

Pneumatic Soft Gripper Patents: Leaders & White Space 2026

Pneumatic Soft Gripper Patents: Leaders & White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/soft-robotics-pneumatic-soft-gripper-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Soft Robotics
Pneumatic soft gripper patents: mapping who leads and where claim space is still open

A data-backed view of pneumatic soft gripper patents: who leads filings, how the technology composition breaks down across IPC classes, and where claim space is still open.

120
Published Records
43%
Top-5 Share of All Records
-18%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth = 2021 (11 records) → 2024 (9); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 120 records in scope (CR5), not the ranked leaders only.

Check your own idea
Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What the pneumatic soft gripper filing record shows

Pneumatic soft grippers sit at the intersection of compliant materials and fluid actuation: claims cover elastomeric fingers, spiral and fiber-optic sensing, and the pneumatic channels that inflate or twist a gripping surface around an object. The dataset in scope spans 120 records published between 2015 and 2026, with 68 assignees appearing in the ranking. Filing activity peaked in 2019 and has since settled into a lower, still-active band — publication lag means the most recent one to two years understate real filing volume.

The composition of IPC classes points to where the actual engineering claims sit: overwhelmingly in manipulator and robot mechanisms (B25J), with secondary clusters in plastics shaping, fluid-pressure actuation, and — more narrowly — harvesting, surgical, and material-handling applications. That secondary spread is where application-specific white space tends to open up, since B25J claims cover the gripping mechanism itself rather than the task it performs.

Filing activity and technology composition, 2015-2026
  1. 1SOFT ROBOTICS INC17
  2. 2SCHMALZ FLEXIBLE GRIPPING INC16
  3. 3NOVARTIS AG11
  4. 4RES & BUSINESS FOUND SUNGKYUNKWAN UNIV4
  5. 5SHANGHAI JIAOTONG UNIV3
  6. 6PRESIDENT & FELLOWS OF HARVARD COLLEGE3
  7. 7DOGTOOTH TECH LTD3
  8. 8PRIORLUCKY3
  9. 9GRAPHIC ERA DEEMED TO BE UNIV2
  10. 10UNIVERSITY OF GUELPH2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Soft Robotics: Pneumatic Soft Gripper Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

Let an AI agent run this analysis on your own technology

Pick a task. Every answer cites the patents behind it.

10,000 free credits to start
The data

Filing trend and technology composition

Two views of the same 120-record corpus: how filing activity has moved year over year, and which IPC subclasses carry the claim language.

Filing trend, 2017-2026

Filings ran from 12 in 2017 to a peak of 17 in 2019, then eased to 11 by 2021 and 9 by 2024 — an 18% decline over that three-year span. 2025 and 2026 figures are still incomplete due to publication lag and should not be read as a continued fall.

Filing trend, 2017-202605101520122017201817201920202021202220232024202572026Most recent year is partial — publication lag means later filings are not yet visible.

Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.

Technology composition by IPC subclass

B25J (manipulators and robots) covers 68.3% of the 120 records in scope, making it the dominant class by a wide margin. B29C, B29D and F15B each sit near 8-9%, reflecting fabrication and actuation claims, while A01D, G06F, A61B and B65G mark narrower application niches at 4-6% each. Records can carry multiple classes, so these shares add up to more than 100%.

Technology composition by IPC subclassB25J · Manipulators & robots8268.3%B29C · Shaping of plastics119.2%B29D · Specific plastic articles108.3%F15B · Fluid-pressure actuators & sys…108.3%A01D · Harvesting & mowing75.8%G06F · Electric digital data processi…65.0%A61B · Diagnosis & surgery54.2%B65G · Conveying & material handling54.2%Other7764.2%

Shares are the percentage of the 120 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 Robotics: Pneumatic Soft Gripper Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

Go deeper on Soft Robotics: Pneumatic Soft Gripper Patent Landscape with Eureka

This page is one run against one query. Ask Eureka your own question about soft robotics: pneumatic soft gripper patent landscape and every answer comes back with the patent numbers behind it.

Try Eureka
Key patents

Representative filing and most-cited records

Representative record
US20230122515A12023-04-20

Pneumatic soft robotic spiral gripper with fiber optic sensor (US20230122515A1)

UNIVERSITY OF GEORGIA RESEARCH FOUNDATION, INC.

Describes a pneumatic soft robotic spiral gripper built around an elastic spine with an embedded fiber optic sensor and a pneumatic spiral channel twining around that spine, formed in a soft gripping material. A fabrication method is also claimed, using a mold with an outer wall and a spiral-shaped rod to form the spiral channel around the spine.Filed by University of Georgia Research Foundation, published 2023-04-20.

US20230122515A1 — patent drawing 1US20230122515A1 — patent drawing 2
View full record
Most-cited records in the corpus
#Publication no.Patent titleCitations
1WO2018087546A1A robotic fruit picking system139
2US20170203443A1Soft robotic grippers for cluttered grasping environments, high acceleration movements, food manipulation, an…108
3US20190030714A1Servo-pneumatic control systems for soft robotic actuators51
4US6494851B1Real time, dry mechanical relaxation station and physical therapy device simulating human application of mass…42
5US20190299424A1Field- assembled soft gripping for industrial and collaborative robots41
6CN111571623A一种可变刚度气动软体抓手31
7US20180281200A1User-assisted robotic control systems30
8US20200315429A1Soft Actuators for Pop-Up Laminate Structures23
9US10179411B2Soft robotic grippers for cluttered grasping environments, high acceleration movements, food manipulation, an…21
10US10569422B2End of arm tools for soft robotic systems20

Citation counts reflect influence within the searched corpus and favour older filings; they are not a measure of present-day importance.

Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. 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 Robotics: Pneumatic Soft Gripper Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Run it yourself

Put your own technology through the same analysis

 
Where to run it
Fastest

Eureka on the web

When you want the answer in the next five minutes.

The agent works the prompt against patents and technical literature, citing every source.

Run your analysis now →
For builders

MCP server & REST API

When it has to run inside your own pipeline.

Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.

Browse MCP servers →
Insights

What the numbers mean for a filing decision

Three figures from the dataset that matter more than the raw counts.

Concentration
42.5%
of all 120 records

The top 5 hold under half the field

The top 5 assignees combined account for 42.5% of all 120 records in scope, with the leader alone at 17. That leaves the majority of filings spread across a long tail of single- or few-filing entrants — a field with a clear leader but no lock-out.

Top 5 combined = 51 records
Technology skew
68.3%
carry B25J

Mechanism claims dwarf application claims

B25J (manipulators and robots) appears on 68.3% of records, far ahead of any application-specific class. Claim space around the gripping mechanism itself is dense; application niches such as harvesting (A01D, 5.8%) or surgery (A61B, 4.2%) are comparatively open.

82 of 120 records carry B25J
Filing pace
-18%
2021 to 2024

Activity has cooled from its 2019 peak, not collapsed

Filings fell from 11 in 2021 to 9 in 2024, an 18% decline over that span, after peaking at 17 in 2019. That is a cooling from an early surge, not a technology in retreat — 2025-2026 figures are still incomplete due to publication lag.

Peak year: 2019 at 17
Geography
34
US receiving-office filings

Filing is US-led but genuinely multi-jurisdiction

The United States receives the most filings (34), followed by China (21) and India (20), with Europe and WIPO/PCT each near 13. That spread suggests the technology is being protected across manufacturing and agricultural markets alike, not filed defensively in one jurisdiction only.

Canada trails at 5
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 robotics: pneumatic soft gripper patent landscape, 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 Robotics: Pneumatic Soft Gripper Patent Landscape covering 2015–2026, data cut-off 2026-08-31. 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 mechanism-heavy field with a long tail of niche applicants. These are the natural next steps for a team evaluating where to file or partner.

Stress-test a claim against the cited base

Run a candidate claim against the most-cited records in this corpus to see how much of the pneumatic-channel and fiber-sensing space is already staked out.

Explore claim charting in Eureka

Watch the application niches, not just B25J

Harvesting, surgical and material-handling applications carry far fewer records than the core mechanism class — track new entrants there before they consolidate.

Set up a monitoring alert in Eureka

Map the long tail for partnership or acquisition targets

With 68 assignees ranked and most holding only a handful of records, single-filing entrants may hold narrow but useful claims worth licensing.

Screen assignees in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Soft Robotics: Pneumatic Soft Gripper Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on pneumatic soft gripper patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Soft Robotics: Pneumatic Soft Gripper Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

Research Soft Robotics: Pneumatic Soft Gripper Patent Landscape in depth with Eureka

Go past this page: query the whole soft robotics: pneumatic soft gripper patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.

Try Eureka

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.

Help us improve this page

Found incorrect or outdated information? Let us know and we'll get it fixed.