Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
6 pending office actions • 6 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 32 patents granted in the last 365 days
Tusimple Inc. has 5 pending office actions in Computing & Software. The matters involve 5 distinct examiners and 5 distinct art units, which means each listed matter follows its own examination path.
ZAMAN, SADARUZ is the busiest examiner, with 1 pending matter. The absence of repeated examiner assignments favors matter-specific preparation, while a shared technical and claim framework can still promote consistency across the portfolio.
Counsel may benefit from tracking responses by art unit and examiner rather than treating the pending matters as a single group. That approach can distinguish recurring software-related issues from positions unique to an individual application.
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 |
|---|---|
| §101 + other | 1 (17%) |
| §103 only | 2 (33%) |
| Double-patenting + other | 1 (17%) |
| Multi-statute (no §101) | 2 (33%) |
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 |
|---|---|---|---|
| ZAMAN, SADARUZ | 1 | 46.0% | +33.5% |
| AYAD, MARIA S | 1 | 35.2% | +15.8% |
| ALLISON, ANDRAE S | 1 | 84.1% | -15.5% |
| WALLACE, DONALD JOSEPH | 1 | 77.3% | +15.3% |
| MILLER, PRESTON JAY | 1 | 54.2% | +24.4% |
| TSENG, KYLE HWA-KAI | 1 | 46.2% | +53.6% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18596354 | SYSTEM AND METHOD FOR VEHICLE POSITION AND VELOCITY ESTIMATION BASED ON CAMERA AND LIDAR DATA | ALLISON, ANDRAE S | — |
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 |
|---|---|---|---|
| 18517517 | MICROPHONE ARRAYS TO OPTIMIZE THE ACOUSTIC PERCEPTION OF AUTONOMOUS VEHICLES | WALLACE, DONALD JOSEPH | 112d overdue |
| 18773299 | FAULT INJECTION TOOL FOR SAFETY DRIVER TRAINING | ZAMAN, SADARUZ | — |
| 18048011 | CURB DETECTION BY ANALYSIS OF REFLECTION IMAGES | MILLER, PRESTON JAY | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18517517 | MICROPHONE ARRAYS TO OPTIMIZE THE ACOUSTIC PERCEPTION OF AUTONOMOUS VEHICLES | WALLACE, DONALD JOSEPH | 112d overdue |
| 17648291 | METHOD, DEVICE, AND SYSTEM FOR SIMULATION TEST | TSENG, KYLE HWA-KAI | 15d |
| 18773299 | FAULT INJECTION TOOL FOR SAFETY DRIVER TRAINING | ZAMAN, SADARUZ | — |
| 18662833 | MULTI-NODE COMPUTATIONAL ARCHITECTURE FOR CONTROL OF AUTONOMOUS VEHICLES | AYAD, MARIA S | — |
| 18048011 | CURB DETECTION BY ANALYSIS OF REFLECTION IMAGES | MILLER, PRESTON JAY | — |
| Art Unit | Apps |
|---|---|
| 3715 | 1 |
| 2172 | 1 |
| 2673 | 1 |
| 3665 | 1 |
| 3661 | 1 |
| 2189 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18773299 | FAULT INJECTION TOOL FOR SAFETY DRIVER TRAINING | ZAMAN, SADARUZ | 3715 | §101§102 | Non-Final OA | — | Pending | Jul 15, 2024 |
| 18662833 | MULTI-NODE COMPUTATIONAL ARCHITECTURE FOR CONTROL OF AUTONOMOUS VEHICLES | AYAD, MARIA S | 2172 | §103 | Non-Final OA | — | Pending | May 13, 2024 |
| 18596354 | SYSTEM AND METHOD FOR VEHICLE POSITION AND VELOCITY ESTIMATION BASED ON CAMERA AND LIDAR DATA | ALLISON, ANDRAE S | 2673 | §103DP | Non-Final OA | — | Pending | Mar 05, 2024 |
| 18517517 | MICROPHONE ARRAYS TO OPTIMIZE THE ACOUSTIC PERCEPTION OF AUTONOMOUS VEHICLES | WALLACE, DONALD JOSEPH | 3665 | §103§112 | Non-Final OA | 112d overdue | Pending | Nov 22, 2023 |
| 18048011 | CURB DETECTION BY ANALYSIS OF REFLECTION IMAGES | MILLER, PRESTON JAY | 3661 | §103§112 | Non-Final OA | — | Pending | Oct 19, 2022 |
| 17648291 | METHOD, DEVICE, AND SYSTEM FOR SIMULATION TEST | TSENG, KYLE HWA-KAI | 2189 | §103 | Final Rejection | 15d | Pending | Jan 18, 2022 |
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Start Free TrialTusimple Inc. has 6 pending office actions as of October 2026, spread across 6 art units and 6 examiners.
Sadaruz Zaman has the most, with 1 of Tusimple Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
