Technology area: Transportation, E-Commerce & Mechanical Systems
6 pending office actions • 5 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Papst Licensing GmbH & Co. Kg has 7 pending office actions in Transportation, E-Commerce & Mechanical Systems. The matters involve 7 distinct examiners and 5 distinct art units, showing that examiner assignment is fully distributed across a smaller set of art-unit groupings. The profile calls for coordination across related technology while recognizing that examination treatment may vary by assignment.
RINK, RYAN J is the busiest examiner listed, with 1 pending matter. No examiner has a larger listed concentration, so counsel should use matter-specific response planning supported by centralized tracking. Comparing objections and amendments across the art units can identify recurring issues without assuming identical prosecution paths.
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 | 1 (17%) |
| §102 only | 1 (17%) |
| §112 only | 1 (17%) |
| Multi-statute (no §101) | 3 (50%) |
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 | 78.6% | +10.7% |
| RODGERS, THOMAS RAYMOND | 1 | 58.7% | +59.3% |
| MELTON, TODD M | 1 | 84.2% | +17.9% |
| REFAI, RAMSEY | 1 | 50.7% | +12.6% |
| TESTARDI, DAVID A | 1 | 74.2% | +22.1% |
| WU, PAYSUN | 1 | 65.5% | +20.6% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 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 |
| 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 6 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 |
| 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 |
| 3619 | 1 |
| 3723 | 1 |
| 3669 | 1 |
| 3665 | 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 |
| 17254284 | Autonomous Mobile Robot And Method For Controlling An Autonomous Mobile Robot | WU, PAYSUN | 3665 | §103§112 | Non-Final OA | 9d | Pending | Dec 20, 2020 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialPapst Licensing GmbH & Co. Kg has 6 pending office actions as of October 2026, spread across 5 art units and 6 examiners.
Ryan J Rink has the most, with 1 of Papst Licensing GmbH & Co. Kg's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
