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Soft Robot Wireless Connectivity Patents: Who Leads, Gaps 2026

Soft Robot Wireless Connectivity Patents: Who Leads, Gaps 2026
https://www.patsnap.com/resources/blog/rd-blog/soft-robot-wireless-connectivity-and-iot-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Robotics & Automation
Soft robot wireless connectivity and IoT patents: who leads and where filings have stalled
  • Filing peaked in 2018 at 8 records and has not recovered. The midpoint year 2022 shows zero filings, pointing to a flat-to-declining trend rather than steady growth.
  • Manipulator and actuator classes dominate the 54-family dataset. B25J and F15B together cover the bulk of records, while connectivity-adjacent classes like H10N sit in single digits.
  • Academic assignees hold the most-cited art, not corporates. Harvard-linked filings anchor the citation table, with co-assignee pairs clustering around a small set of named inventors.
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54
Published Records
83%
Top-5 Share of All Records
US
Leading Jurisdiction
15
Active Filers Ranked
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

A small, academically-anchored field with stalled growth

The dataset covers 54 patent families filed between 2015 and 2026 that combine soft robotics with untethered or wireless actuation claims. Filing activity peaked in 2018 at eight records and has since thinned out, with the 2022 midpoint showing no filings at all — a pattern that reads as flat or declining rather than an early-stage ramp. Publication lag means the final 1-2 years are always undercounted, but the shape of the curve through the peak year is real.

Technology composition skews heavily toward core actuation and manipulator hardware rather than the wireless or IoT layer itself: B25J and F15B subclasses carry the bulk of records, while classes tied to solid-state electronics or telecom sit in single digits. Receiving-office data shows the United States and the PCT route carrying most of the volume, consistent with a field still dominated by university and early-stage filers seeking broad geographic optionality before committing to national phase.

Filing volume by year, 2017-2026
  1. 1PRESIDENT & FELLOWS OF HARVARD COLLEGE24
  2. 2MASSACHUSETTS INST OF TECH10
  3. 3THE TRUSTEES OF THE UNIV OF PENNSYLVANIA5
  4. 4CARNEGIE MELLON UNIV3
  5. 5MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN EV3
  6. 6NORTHWESTERN UNIV3
  7. 7THE BOARD OF TRUSTEES OF THE UNIV OF ILLINOIS2
  8. 8TRUSTEES OF DARTMOUTH COLLEGE THE2
  9. 9DECKER COLTER J1
  10. 10RAJAPPAN ANOOP1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Soft Robot Wireless Connectivity and IoT 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
The data

Filing trend and technology composition

Two views of the same 54-family dataset: how filing volume has moved year over year, and which IPC subclasses carry the claim density.

A peak in 2018, then a flat line

From 2 families in 2017 to a peak of 8 in 2018, the trend gives no filings at the 2022 midpoint and none recorded in 2026 so far. Read the final years with the 18-month publication lag in mind — some 2025-2026 filings will not be visible yet — but the multi-year plateau through the middle of the window is not an artefact of lag.

A peak in 2018, then a flat line024682201782018201920202021202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

Manipulators and fluid actuators, not the wireless layer

B25J (manipulators & robots) and F15B (fluid-pressure actuators) account for the largest shares of the 54 records, with F16L, B61B and B62D trailing behind. H10N, the subclass most associated with solid-state electric devices, holds only 5 records — evidence that the wireless/IoT connectivity layer is thin relative to the mechanical actuation art it sits inside.

Manipulators and fluid actuators, not the wireless layerB25J · Manipulators & robots3564.8%F15B · Fluid-pressure actuators & sys…2342.6%F16L · Pipes & pipe fittings916.7%B61B · Railway systems & cableways713.0%B62D · Motor vehicles & steering611.1%H10N · Other electric solid-state dev…59.3%F03G · Spring/weight & misc. motors35.6%A61B · Diagnosis & surgery23.7%Other3157.4%

Shares are the percentage of the 54 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 Wireless Connectivity and IoT 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 most-cited records anchor the field

Representative record
US20150375817A12015-12-31

Resilient, untethered soft robot

PRESIDENT AND FELLOWS OF HARVARD COLLEGE

A pneumatically powered, fully untethered mobile soft robot built from silicone elastomer, polyaramid fabric and hollow glass microspheres, sized to carry its own air compressors, battery, valves and controller for autonomous operation. The 0.65-metre soft body uses modified pneumatic network actuators rated to 138 kPa, able to actuate legs and carry payloads up to 8 kg while remaining resilient to adverse environmental conditions.Filed by President and Fellows of Harvard College, published 2015-12-31.

US20150375817A1 — patent drawing 1US20150375817A1 — patent drawing 2
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Highest-cited records in the dataset
#Publication no.Patent titleCitations
1US20140208731A1Systems and methods for actuating soft robotic actuators53
2US20150375817A1Resilient, untethered soft robot21
3WO2013103412A2Systems and methods for actuating soft robotic actuators19
4US20220069737A1Electrostatic-actuator-based, tunable, soft robots15
5US20180207814A1Distributed pressurization and exhaust systems for soft robots11
6US10451210B2Soft body robot for in-pipe missions8
7US20170030381A9Systems and methods for actuating soft robotic actuators8
8WO2017011438A1Distributed pressurization and exhaust systems for soft robots7
9WO2020112947A1Electrostatic-actuator-based, tunable, soft robots6
10US9945397B2Systems and methods for actuating soft robotic actuators6

Citation counts favour older filings within any searched corpus; treat this table as a signal of influence on later work, not of current commercial 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 Wireless Connectivity and IoT 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 say about this field

Three findings that shape how a freedom-to-operate or whitespace review should be scoped in this space.

Filing momentum
Peak 2018: 8
families in the peak year

Growth stalled after 2018

Filings rose from 2 in 2017 to a peak of 8 in 2018, then fell back with zero recorded at the 2022 midpoint. That is not the shape of a technology still attracting fresh capital into new filings; it looks more like a cluster of early academic priority claims that has not been followed by a second wave.

Filing trend, 2017-2026
Technology mix
B25J: 35 records
of 54 total families

Mechanical actuation dominates the claim space

B25J and F15B between them cover most of the dataset, meaning the bulk of protected subject matter is soft-body manipulation and fluid actuation hardware. Wireless-specific classes such as H10N sit at just 5 records, suggesting connectivity is usually claimed as a dependent feature rather than the core invention.

IPC composition, all records
Filing geography
US: 20, PCT: 15
of the recorded receiving offices

US and PCT carry the volume

The United States receives the largest single share of filings, with the WIPO PCT route close behind — a combination typical of university-originated inventions kept open for national-phase decisions later. Europe, Australia and Canada each hold single-digit shares, and national coverage outside these routes is thin.

Receiving office split
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to soft robot wireless connectivity and iot, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Soft Robot Wireless Connectivity and IoT 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 claim space

The ranking is dominated by university and research-institute assignees, with recent-year momentum flat across the named organisations.

Assignee type
0 in latest year
across leading named assignees

No assignee shows recent momentum

Every one of the leading assignees in the recent-year momentum table — spanning Harvard, MIT, the University of Pennsylvania, the Max Planck Society, Northwestern and Carnegie Mellon — recorded zero filings in the latest tracked year. That is consistent with the broader flat-to-declining trend rather than any one organisation losing ground specifically.

Recent-year momentum by assignee
Collaboration pattern
5 co-assignee pairs
identified in the dataset

Inventor clusters, not corporate alliances

Co-assignee pairs are few and concentrated around named individuals rather than joint corporate filings — the strongest pairs link George Whitesides with Samuel Root, Anoop Rajappan and Daniel John Preston respectively. This points to lab-level co-invention within a single institution rather than cross-company partnership.

Co-assignee pairs, dataset-wide
Field structure
54 families total
across the full search window

A small field led by academic priority filings

With only 54 families across more than a decade, this is a narrow, academically-anchored niche rather than a crowded commercial battleground. The most-cited records trace back to university labs, and no single corporate assignee has yet built a dominant filing position.

Assignee ranking, all records
🔍
Under-claimed branches worth a closer look
Sub-areas where filing density is thin relative to the mechanical actuation core
Wireless power transfer for soft actuatorsIoT sensor fusion in compliant bodiesSolid-state (H10N) connectivity componentsUntethered control electronics packagingPipe-network (F16L) wireless integration
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
President and Fellows of Harvard College0
Massachusetts Institute of Technology (MIT)0
The Trustees of the University of Pennsylvania0
Max Planck Society0
Northwestern University0
Carnegie Mellon University0
Dartmouth College0
The Board of Trustees of the University of Illinois0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Soft Robot Wireless Connectivity and IoT 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 trend and composition data point to specific next steps depending on whether the goal is freedom-to-operate, licensing or new filing strategy.

Run a freedom-to-operate check on the cited core

The most-cited records, led by the Harvard untethered soft robot family, sit on pneumatic actuation and body-composite claims that any new untethered design should be checked against before committing to a build.

Check claims in Eureka

Track whether filing recovers past the 2022 gap

With the midpoint year showing zero filings and the trend not yet recovered, monitoring the next 12-18 months of publications — allowing for lag — will show whether this is a permanent plateau or a temporary gap.

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Scope the wireless/IoT layer separately from actuation

Because H10N and connectivity-adjacent classes are thinly claimed relative to B25J and F15B, a targeted search on the wireless layer alone is likely to surface different assignees and a different competitive picture.

Build a targeted search in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Soft Robot Wireless Connectivity and IoT 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

Answers are grounded in the same dataset. Derived from a Patsnap search on Soft Robot Wireless Connectivity and IoT 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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