Energy-Efficient Robot Patent Snapshot 2026
The energy-efficient robot patent space is highly concentrated, with FANUC Ltd holding the largest single share among the top filers and Japan serving as the dominant filing jurisdiction. Annual activity peaked around 2020 and has since eased, placing the field in a decline phase on a multi-year basis, though adjacent branches in digital data processing and specialized metal-working applications remain sparsely covered.
FANUC leads a tightly held field with a narrow group of challengers
FANUC Ltd ranks first in the applicant standings, ahead of Hitachi Ltd and ABB Technology AG, which are tied for second place. The top five filers together account for sixty-six percent of the combined total of the ranked applicants visible in this query, signaling a concentrated visible assignee structure with limited room for unranked entrants to claim territory through volume alone.
The tier gap between the leader and the rest is material: FANUC’s patent-record count is forty percent higher than either Hitachi or ABB, and all three sit well above the single-record tier occupied by the majority of listed applicants. This creates a clear two-tier structure — a small group of established industrial automation incumbents at the top, and a longer tail of occasional filers.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | FANUC Ltd | 7 | |
| 2 | Hitachi Ltd | 5 | |
| 3 | ABB Technology AG | 5 | |
| 4 | Harbin Institute of Technology | 3 | |
| 5 | Siemens Industry Software Inc | 1 | |
| 6 | Jiangxi Vocational and Technical University | 1 | |
| 7 | Siemens AG | 1 | |
| 8 | Cangzhou Dwaya Laser Technology Co Ltd | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 9 | Mitsubishi Heavy Industries Ltd | 1 | |
| 10 | Shinko Engineering Co Ltd | 1 | |
| 11 | Vivekananda Global University | 1 | |
| 12 | Toyota Motor Corporation | 1 | |
| 13 | Mantetsuku G Fuyua Automateiji | 1 | |
| 14 | Keylex Corporation | 1 | |
| 15 | Gree Electric Appliances Inc of Zhuhai | 1 | |
| 16 | ABB Technology AB | 1 |
The incumbents’ positions imply that energy-efficiency advances in robotics have so far been captured primarily by large industrial automation and motion-control specialists. New entrants or academic players looking to establish a credible position will need to differentiate by technology route rather than compete on filing volume.
The most recent filing years are subject to publication lag and likely under-represent activity from late 2024 onward; apparent absence of filings in those years should not be read as a cessation of R&D. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Filing activity peaked in 2020 and the technology mix is dominated by manipulator and motor-control classes
The annual filing chart and the IPC composition chart together reveal both the temporal arc of innovation activity and the technical routes through which energy efficiency has been pursued in robotics.
Annual filing trend
Filings were absent before 2020, reached a modest peak in that year, then stepped down through 2022 and show no recorded activity in 2023–2024. A small uptick appears in 2025, but given publication lag this should be treated as a floor, not a signal of recovery. The overall window reflects a field that generated its strongest activity around 2020 and has since eased.
↗ Hover for values · click a bar to ask EurekaTechnology composition
B25J (Manipulators and robots) is the overwhelmingly visible IPC class, reflecting that energy-efficiency claims are primarily embedded in robot mechanical and kinematic design. H02P (Control of motors and generators) and G05B (Control and regulating systems) form the next tier, confirming that drive electronics and closed-loop control are the secondary routes. All remaining branches — including G06F, B21D, B23K, B23P, F23D, G05D, and H05K — each hold only one or two patent records, indicating sparse coverage.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Method for optimizing motion parameter of industri…
A method for optimizing motion parameters of an industrial robot for energy saving in a big data environment comprises the following steps: step 1: determining parameters influencing the energy consumption of an industrial robot, and constructing an equation for a mathematical relationship between the energy consumption of the industrial robot and the… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Collision avoidance motion planning method for ind… | 52 |
| 2 | Controlling system for industrial robot | 26 |
| 3 | A method for reducing the energy consumption of an… | 23 |
| 4 | A method for reducing the energy consumption of an… | 19 |
| 5 | A method for reducing the energy consumption of an… | 18 |
| 6 | A method for reducing the energy consumption of an… | 15 |
| 7 | Industrial robot system | 15 |
| 8 | Reducer for load of industrial robot | 14 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
FANUC Ltd
FANUC Ltd holds the top position with seven patent records, the highest count among all ranked applicants. Its technology emphasis spans H02P 3 (motor braking and regeneration control), B25J 13 (robot sensing and hand control), and B25J 9 (robot structural design), making it the only top filer with a declared motor-control focus alongside manipulator claims. No momentum data is available for FANUC in the recent-versus-prior comparison, so trajectory cannot be confirmed.
patent records: 7Hitachi Ltd
Hitachi Ltd is tied for second with five patent records, concentrating on B25J 9 (robot structural and kinematic design) and G05B 19 and G05B 9 (numerical control and fail-safe regulating systems). This control-systems emphasis distinguishes Hitachi from FANUC’s motor-regeneration focus and suggests a software-intensive approach to energy efficiency. No recent-versus-prior momentum data is available for Hitachi.
patent records: 5Frequently asked questions
The corpus covers eight patent families in scope. This is a small but focused dataset reflecting a specialized intersection of energy management and robotic systems.
FANUC Ltd ranks first with seven patent records, ahead of Hitachi Ltd and ABB Technology AG, each of which holds five patent records.
B25J (Manipulators and robots) is the visible IPC class with twenty-six patent records, far ahead of H02P (Control of motors and generators) at seven and G05B (Control and regulating systems) at six.
Japan is the leading filing jurisdiction with twelve patent records, consistent with the dominance of Japanese industrial robot makers such as FANUC, Hitachi, and Mitsubishi Heavy Industries in the applicant ranking.
The evidence places the field in a decline stage. Annual filings peaked around 2020 and have eased since. The most recent years are subject to publication lag, so the precise current level is uncertain, but the multi-year trend has moved past its peak.
The sparsest branches relative to the visible B25J cluster are G06F (Electric digital data processing, two records), and B21D, B23K, B23P, and F23D (each with one record). Of these, G06F and B23K have the most plausible technical connection to energy-efficiency improvements in robotics and represent under-served adjacent areas.
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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.
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