Robotic DED Automation Patent Snapshot 2026
The robotic directed energy deposition (DED) automation patent corpus is nascent and highly fragmented, with all 4 patent families concentrated in India and filed almost entirely in 2025–2026. No dominant commercial incumbent has yet emerged, leaving the competitive structure defined by individual academic and research contributors rather than by established industrial players.
A nascent, fragmented field led by Indian academic filers
The corpus contains 4 patent families in scope, all filed in India. The top-ranked applicant — Dr Biplab Hazra — holds 1 patent record, a position shared by every other applicant in the ranking, indicating no meaningful concentration advantage for any single filer at this stage.
The top five filers collectively account for 50% of the ranked applicants visible in this query’ combined total, but given the extreme smallness of the corpus this reflects an equally distributed field rather than a genuine tier gap between leaders and challengers. No applicant has yet established a portfolio depth that would confer a defensive moat.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Dr Biplab Hazra | 1 | |
| 2 | Dr Jagadish Parida | 1 | |
| 3 | Dr Bishub Choudhury | 1 | |
| 4 | Sathish Kumar Parimi | 1 | |
| 5 | Nitte Deemed to be University | 1 | |
| 6 | Dr Arka Ghosh | 1 | |
| 7 | Dr Hari Narayan Singh Yadav | 1 | |
| 8 | Madan Mohan Malaviya University of Technology | 1 | |
| 9 | Dr Shakti Kumar | 1 | |
| 10 | Dr Bappa Das | 1 |
The dominance of individual researcher names and academic institutions (Nitte Deemed to be University, Madan Mohan Malaviya University of Technology) signals that robotic DED automation remains largely a research-stage topic with limited industrial appropriation to date. This implies a wide-open opportunity for commercial entities to establish early first-mover positions.
The most recent filings (2025–2026) are subject to standard patent-publication lag and the true volume of recent activity is likely under-represented in this dataset. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Activity concentrated in 2025–2026; welding and additive manufacturing dominate the technology mix
The filing trend and technology composition charts together reveal a field that emerged from a standing start in 2025, anchored in welding-process and 3D-printing classification codes with sparse coverage of adjacent application domains.
Annual filing trend
Zero filings are recorded from 2017 through 2024; 3 patent records appear in 2025 and 1 in 2026. Because filings from the most recent 18–24 months are subject to publication lag, the 2026 figure almost certainly understates actual activity. The inflection in 2025 marks the apparent start of formal IP activity in this space.
↗ Hover for values · click a bar to ask EurekaTechnology composition
B23K (welding, soldering and brazing) is the visible IPC class, covering all 4 patent records, followed by B33Y (additive manufacturing / 3D printing) with 3 records. Five additional classes — B23P (metal working), C23C (coating and surface deposition), G06N (AI-based computing), H01M (batteries and fuel cells), and H02J (power supply and grid systems) — each appear once, signalling early-stage breadth without depth in any single branch.
↗ 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.
Fabrication of wear-resistant monel-inconel 625 bi…
This study developed a multi-layer wall of Monel-IN625 bi-metallic components using wire arc additive manufacturing (WAAM) with a robotic gas metal arc welding (GMAW) process. Detailed research was conducted on the morphology, microstructure, and wear behavior of bimetallic specimens produced by WAAM. The microstructure analysis revealed equiaxed and… (excerpt from the patent abstract)
Open this patent in Eureka →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.
Dr Biplab Hazra
Dr Biplab Hazra is the top-ranked filer with 1 patent record, focused on B23K welding/soldering and B23P metal-working subclasses. No prior-period filings are recorded, so no momentum trend is computable. As an individual researcher, portfolio depth is currently limited to a single filing.
families: 1Nitte Deemed to be University
Nitte Deemed to be University holds 1 patent record with IPC emphasis on B23K welding and B33Y additive manufacturing subclasses (B33Y10, B33Y30), distinguishing it from the purely welding-focused individual filers. It is one of only two institutional (non-individual) applicants in the ranking, alongside Madan Mohan Malaviya University of Technology.
families: 1Frequently asked questions
The current corpus contains 4 patent families in scope. All are filed in India; no filings have been detected in other major patent offices such as the US, EP, CN, JP, or KR.
Dr Biplab Hazra is the top-ranked applicant with 1 patent record. Every applicant in the ranking holds exactly 1 patent record, so there is no meaningful leader-to-challenger gap at this stage.
B23K (welding, soldering and brazing) covers all 4 patent records and is the visible class. B33Y (additive manufacturing / 3D printing) follows with 3 records. Five additional classes — B23P, C23C, G06N, H01M, and H02J — each appear in 1 record.
No filings were recorded from 2017 through 2024. Activity began in 2025, with 3 patent records that year and 1 in 2026. The 2026 figure is likely understated due to standard patent-publication lag.
Based on available evidence, all ranked applicants are either individual researchers or academic institutions (Nitte Deemed to be University and Madan Mohan Malaviya University of Technology). No commercial or industrial entities appear in the current ranking.
G06N (AI-based computing for process control) and C23C (coating and surface deposition) each appear in only 1 patent record, representing relative sparsity. G06N is particularly relevant given the control-intensive nature of robotic DED; however, teams should validate whether broader AI-in-manufacturing portfolios provide blocking coverage before filing in either branch.
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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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