Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 5 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Papst Licensing GmbH & Co. Kg has 6 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These matters are assigned to 6 distinct examiners and 5 distinct art units. This distribution shows that the pending actions are spread across almost as many art units as there are actions. Such a wide technical distribution suggests that the company's intellectual property in the transportation and mechanical systems field is diverse and touches on many different specialized technical groups at the USPTO.
RINK, RYAN J is the busiest examiner for the company. This examiner is managing 1 pending office action. With 6 distinct examiners for 6 pending actions, each matter is being reviewed by a different official across the 5 art units. This one-to-one ratio between examiners and actions means that no single examiner has a dominant influence over the portfolio. Practitioners must navigate the specific requirements of 6 distinct examiners, each operating within the 5 different art units that house the company's current pending matters.
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §103 only | 3 (43%) |
| §102 only | 1 (14%) |
| §112 only | 1 (14%) |
| Multi-statute (no §101) | 2 (29%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| RINK, RYAN J | 1 | 78.4% | +10.8% |
| RODGERS, THOMAS RAYMOND | 1 | 58.6% | +59.2% |
| MELTON, TODD M | 1 | 84.3% | +17.8% |
| REFAI, RAMSEY | 1 | 50.7% | +12.3% |
| TESTARDI, DAVID A | 1 | 74.2% | +22.0% |
| HEFLIN, HARRISON JAMES RIEL | 1 | 72.3% | +14.4% |
| WU, PAYSUN | 1 | 65.5% | +18.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18818082 | Robot-Assisted Processing of a Surface Using a Robot | MELTON, TODD M | 9d |
| 18721802 | Autonomous Mobile Robot and Service Station | RODGERS, THOMAS RAYMOND | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18942914 | Method For Controlling An Autonomous Mobile Robot | RINK, RYAN J | 9d overdue |
| 18234684 | SECTORING OF MAPS FOR ROBOT NAVIGATION | TESTARDI, DAVID A | 6d |
| 18818082 | Robot-Assisted Processing of a Surface Using a Robot | MELTON, TODD M | 9d |
| 17254284 | Autonomous Mobile Robot And Method For Controlling An Autonomous Mobile Robot | WU, PAYSUN | 9d |
| 17272489 | Exploration Of A Robot Deployment Area By An Autonomous Mobile Robot | HEFLIN, HARRISON JAMES RIEL | 48d |
| 18721802 | Autonomous Mobile Robot and Service Station | RODGERS, THOMAS RAYMOND | — |
| 18272514 | Situation Assessment By Way of Object Recognition in Autonomous Mobile Robots | REFAI, RAMSEY | — |
| Art Unit | Apps |
|---|---|
| 3664 | 2 |
| 3665 | 2 |
| 3619 | 1 |
| 3723 | 1 |
| 3669 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18942914 | Method For Controlling An Autonomous Mobile Robot | RINK, RYAN J | 3619 | §103 | Non-Final OA | 9d overdue | Pending | Nov 11, 2024 |
| 18721802 | Autonomous Mobile Robot and Service Station | RODGERS, THOMAS RAYMOND | 3723 | §102§103§112 | Non-Final OA | — | Pending | Sep 19, 2024 |
| 18818082 | Robot-Assisted Processing of a Surface Using a Robot | MELTON, TODD M | 3669 | §102§103 | Final Rejection | 9d | Pending | Aug 28, 2024 |
| 18272514 | Situation Assessment By Way of Object Recognition in Autonomous Mobile Robots | REFAI, RAMSEY | 3664 | §102 | Non-Final OA | — | Pending | Aug 14, 2024 |
| 18234684 | SECTORING OF MAPS FOR ROBOT NAVIGATION | TESTARDI, DAVID A | 3664 | §112 | Non-Final OA | 6d | Pending | Aug 16, 2023 |
| 17272489 | Exploration Of A Robot Deployment Area By An Autonomous Mobile Robot | HEFLIN, HARRISON JAMES RIEL | 3665 | §103 | Final Rejection | 48d | Pending | Nov 23, 2021 |
| 17254284 | Autonomous Mobile Robot And Method For Controlling An Autonomous Mobile Robot | WU, PAYSUN | 3665 | §103 | Non-Final OA | 9d | Pending | Dec 20, 2020 |
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