Technology area: Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Skild-Fetch LLC manages a company patent portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. There are currently 3 pending office actions within this portfolio. This activity is spread across 3 distinct examiners and 3 distinct art units, showing that each pending action is assigned to a different individual and unit.
MOTT, ADAM R is the busiest examiner for the portfolio, with 1 busiest examiner pending office action. This indicates that the workload is distributed among the 3 distinct examiners, as no individual is managing more than 1 of the 3 total pending actions. Each examiner is handling an active prosecution matter.
The presence of 3 distinct art units reflects a multi-faceted approach to the Transportation, E-Commerce & Mechanical Systems sector. Each pending matter is being evaluated in a different specialized unit, which may lead to varying examination timelines or procedural requirements across the portfolio. This distribution requires the legal team to navigate separate examination environments.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 |
|---|---|
| Multi-statute (no §101) | 3 (100%) |
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 |
|---|---|---|---|
| MOTT, ADAM R | 1 | 75.2% | +22.0% |
| DYER, ANDREW R | 1 | 59.6% | +39.3% |
| SILVA, MICHAEL THOMAS | 1 | 32.8% | +24.3% |
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 |
|---|---|---|---|
| 17971359 | Operational State Detection for Obstacles in Mobile Robots | SILVA, MICHAEL THOMAS | 60d overdue |
| 17990229 | System and Method for Scheduling Tasks for Mobile Robots | MOTT, ADAM R | 44d overdue |
| 17975378 | Systems and Methods for Updating Maps for Robotic Navigation | DYER, ANDREW R | — |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17971359 | Operational State Detection for Obstacles in Mobile Robots | SILVA, MICHAEL THOMAS | 60d overdue |
| 17990229 | System and Method for Scheduling Tasks for Mobile Robots | MOTT, ADAM R | 44d overdue |
| 17975378 | Systems and Methods for Updating Maps for Robotic Navigation | DYER, ANDREW R | — |
| Art Unit | Apps |
|---|---|
| 3657 | 1 |
| 3662 | 1 |
| 3663 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17990229 | System and Method for Scheduling Tasks for Mobile Robots | MOTT, ADAM R | 3657 | §103§112 | Non-Final OA | 44d overdue | Pending | Nov 18, 2022 |
| 17975378 | Systems and Methods for Updating Maps for Robotic Navigation | DYER, ANDREW R | 3662 | §103§112 | Non-Final OA | — | Pending | Oct 27, 2022 |
| 17971359 | Operational State Detection for Obstacles in Mobile Robots | SILVA, MICHAEL THOMAS | 3663 | §103§112 | Final Rejection | 60d overdue | Pending | Oct 21, 2022 |
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Start Free TrialSkild-Fetch LLC has 3 pending office actions as of October 2026, spread across 3 art units and 3 examiners.
Adam R Mott has the most, with 1 of Skild-Fetch LLC's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
