Warehouse Robot Grasping Patents: Who Leads, White Space 2026
- Still early. Only 11 published families sit in this exact intersection of warehouse robotics and bin picking or grasp planning, with the peak filing year (4 families) arriving as recently as 2025.
- One subclass dominates. B25J (manipulators and robots) covers 9 of 11 records, while vision and control subclasses each appear only once or twice — the claim space outside core manipulator mechanics is thin.
- No entrenched leader yet. Momentum is split across individual filers and one research university, with several 2025 leaders showing 0 filings and a -100% YoY drop in the latest year — this field has not consolidated.
A narrow, still-forming patent pool
Warehouse robot grasping and manipulation sits at the intersection of two much larger fields: mobile warehouse automation and robotic bin picking. Searched narrowly — requiring both a warehouse or logistics robot context and a grasp planning or object manipulation claim — the published record is small: 11 patent families across roughly a decade of coverage. That scarcity is itself informative. It means the core mechanical and control claims for warehouse-specific grasping have not yet been staked out the way they have in general industrial robotics.
Filing activity was essentially flat through the late 2010s and only began accelerating from the early 2020s, reaching its recorded peak of four families in 2025. Because publication typically lags filing by around 18 months, the true 2025-2026 filing volume is almost certainly higher than what has published so far.
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Filing trend and technology composition
Two views of the same 11-family dataset: when the filings happened, and which parts of the classification system they touch.
Filings climbed from zero to a 2025 peak
The trend line is flat near zero from 2017 through the 2022 midpoint, then turns upward — 2022 recorded no filings at all, and the four-family peak in 2025 marks the fastest single-year growth in the dataset. Growth is still accelerating rather than plateauing, but the base is small enough that a handful of filings from any one assignee could reshape the picture.
B25J carries almost the entire dataset
Nine of 11 records classify under B25J (manipulators and robots), with G06F, G06T and G06V each appearing twice and G05B and G05D appearing once. That concentration means the mechanical and kinematic grasping claims are where prior art already exists; the perception (G06T/G06V) and control-software (G05B/G05D) layers around warehouse-specific grasping are comparatively unclaimed.
Shares are the percentage of the 11 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Warehouse Robot Grasping and Manipulation with Eureka
This page is one run against one query. Ask Eureka your own question about warehouse robot grasping and manipulation and every answer comes back with the patent numbers behind it.
Try EurekaA representative record from the dataset
Persistent Human-Machine Interfaces via Gaze and Eye Direction Tracking
A camera-based eye-tracking system and data classification method for persistent human-machine interfaces. The system applies a deep learning algorithm, such as a convolutional neural network, to classify eye direction, and can use pupil-center corneal-reflection gaze tracking within a supervisory control and data acquisition architecture applicable to any screen-based HMI task.Filed 2024-09-12 · US20240302897A1
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Three readings of the dataset that matter more than the raw family count.
Growth is real but the base is thin
The filing trend moved from zero in the earlier years to a peak of four families in 2025, with the 2022 midpoint still at zero. That is acceleration, not maturity — a field this small can be reshaped by two or three filers deciding to expand their programs.
Mechanical grasping claims dominate
B25J covers manipulators and robots outright, and it appears in the overwhelming majority of this dataset. The vision subclasses (G06T, G06V) and control subclasses (G05B, G05D) each appear once or twice, suggesting the software and perception layers around warehouse grasping are comparatively open.
Filing is split between the US and India
The United States receives the largest share of filings, but India is close behind at three, ahead of the EPO, Germany and the WIPO/PCT route. That spread suggests applicants are not yet concentrating protection in a single jurisdiction.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to warehouse robot grasping and manipulation, with the prior art for and against each one.
Who is filing, and where the gaps sit
No single assignee controls this space yet. Momentum in the latest year is split between individual co-inventors and one university research corporation, while earlier filers — including a major industrial robotics name — show no activity in the most recent year.
Latest-year activity is individual, not corporate
The assignees with filings in the most recent year are individual co-inventors rather than large corporations, each showing one filing. Larger legacy names in the dataset recorded zero filings in the latest year, some with a -100% year-on-year change.
Collaboration is limited to a handful of pairs
Only two co-assignee pairs appear in the dataset, the strongest being a two-filing pairing between individual co-inventors. This is not a field yet organized around joint corporate-university filing programs.
Academic filing sits alongside corporate and individual activity
Georgia Tech Research Corporation appears in the dataset alongside corporate names such as ABB and individual filers, indicating the field draws from university labs as well as industry R&D groups rather than one type of applicant dominating.
| Assignee | Recent year | YoY |
|---|---|---|
| DR SURAYA MUBEEN | 1 | — |
| DR A RAJI REDDY | 1 | — |
| ABB (Switzerland) Ltd. | 0 | -100% |
| Georgia Tech Research Corporation | 0 | — |
| MADHURA RAJESH SHANKARPURE | 0 | -100% |
| DIPTI DURGESH PATIL | 0 | -100% |
| Google LLC | 0 | — |
| Samsung Electronics Co., Ltd. (Korea) | 0 | -100% |
Where to take this
The dataset points to specific next steps rather than a finished picture.
Track the 2025-2026 filings as they publish
Given the 18-month publication lag, the true filing count for 2025 and 2026 is understated in every dataset pulled today. Re-checking this search in six to twelve months will materially change the trend line.
Monitor this space in Eureka →Map the white space before filing
With B25J so heavily occupied and the vision and control subclasses nearly empty, a freedom-to-operate check focused on grasp-planning software and multi-object sequencing claims is more useful right now than a mechanical-gripper search.
Run a white-space search in Eureka →Common questions on this landscape
Within the specific intersection of warehouse or logistics robot context and bin picking or grasp planning claims, the published record totals 11 patent families through the 2026 data cut-off. This is a narrow search intersection, not a count of every industrial grasping patent — broader robotic manipulation searches would return far more. Because publication lags filing by roughly 18 months, the most recent one or two years are undercounted in any pull taken today.
No single company dominates this dataset. Recent-year momentum is led by individual co-inventors rather than a major corporation, while established names such as ABB and Georgia Tech Research Corporation appear in the broader record but show no filings in the latest year. This suggests the field has not yet consolidated around a small number of well-resourced filers, unlike more mature robotics sub-fields.
The overwhelming majority of records classify under B25J, the IPC subclass for manipulators and robots, which covers 9 of the 11 families in this dataset. Supporting classifications include G06F, G06T and G06V for the computing and vision side, and G05B and G05D for control systems, each appearing only once or twice. That imbalance indicates mechanical grasping claims are relatively well-trodden while perception and control-software claims specific to warehouse grasping remain comparatively open.
Yes, based on the filing trend in this dataset: activity was at zero as recently as the 2022 midpoint and rose to a peak of four families in 2025, the highest single year on record. That is a small base, so the growth should be read as an early acceleration rather than an established trend, and later years will likely revise upward once currently unpublished applications appear.
The clearest gaps sit outside the heavily-filed B25J mechanical subclass — specifically in warehouse-specific grasp-planning software, multi-object bin-picking sequencing, vision-guided grasp pose estimation tuned to logistics SKUs, and compliant gripper control for irregular parcels. Each of these areas appears in the dataset only through the thinly-populated G06F, G06T, G06V, G05B and G05D subclasses, meaning claim space there is far less occupied than core manipulator mechanics.
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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.