Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
10 pending office actions • 8 art units • 10 examiners • 0 of 10 (0%) have an AI response strategy ready • 33 patents granted in the last 365 days
Tusimple Inc. currently faces 10 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed across 10 distinct examiners and 8 distinct art units. This high level of dispersion indicates a broad and complex prosecution landscape where the company must manage interactions with many different individuals across several specialized units simultaneously. The diversity of the 8 distinct art units suggests that the company's technology spans a wide range of sub-specialties within the broader mechanical and transportation fields.
The busiest examiner for the portfolio is ADAMS, PHILIP CHARLES, who is responsible for 1 pending office action. Because there are 10 distinct examiners, every single active action is being reviewed by a different person. This ratio between actions and examiners, combined with the high number of art units involved, suggests that the company's legal strategy must be highly adaptable to a wide variety of examiner preferences. Practitioners should be prepared for potentially inconsistent feedback across the pending actions, as each examiner may apply different interpretations of the examination guidelines.
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 |
|---|---|
| §101 + other | 1 (10%) |
| §103 only | 4 (40%) |
| §112 only | 1 (10%) |
| Multi-statute (no §101) | 4 (40%) |
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 |
|---|---|---|---|
| ADAMS, PHILIP CHARLES | 1 | 75.0% | +0.0% |
| PECHE, JORGE O | 1 | 80.6% | +16.8% |
| YANG, WEI WEN | 1 | 81.9% | +11.5% |
| ZAMAN, SADARUZ | 1 | 45.6% | +33.7% |
| FEES, CHRISTOPHER GEORGE | 1 | 57.1% | +22.4% |
| AYAD, MARIA S | 1 | 34.9% | +16.2% |
| BREENE, JOHN E | 1 | 52.0% | -5.2% |
| WALLACE, DONALD JOSEPH | 1 | 76.9% | +16.0% |
| MILLER, PRESTON JAY | 1 | 54.2% | +24.4% |
| TSENG, KYLE HWA-KAI | 1 | 48.0% | +60.4% |
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 |
|---|---|---|---|
| 18891113 | PERCEPTION SYSTEM FOR AUTONOMOUS VEHICLES | YANG, WEI WEN | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. 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 |
| 18664712 | SYSTEMS AND METHODS FOR AUTONOMOUS DRIVING BASED ON BOUNDED TRACKING | FEES, CHRISTOPHER GEORGE | 16d |
| 18933798 | SYSTEM AND METHOD FOR MONITORING TIRE HEALTH | PECHE, JORGE O | 42d |
| 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 8 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 |
| 18664712 | SYSTEMS AND METHODS FOR AUTONOMOUS DRIVING BASED ON BOUNDED TRACKING | FEES, CHRISTOPHER GEORGE | 16d |
| 18933798 | SYSTEM AND METHOD FOR MONITORING TIRE HEALTH | PECHE, JORGE O | 42d |
| 18891113 | PERCEPTION SYSTEM FOR AUTONOMOUS VEHICLES | YANG, WEI WEN | — |
| 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 |
|---|---|
| 3656 | 1 |
| 3715 | 1 |
| 3662 | 1 |
| 2172 | 1 |
| 2855 | 1 |
| 3665 | 1 |
| 3661 | 1 |
| 2189 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18960915 | SYSTEM AND METHOD FOR A SENSOR MOUNTING SYSTEM | ADAMS, PHILIP CHARLES | — | §103 | Non-Final OA | — | Pending | Nov 26, 2024 |
| 18933798 | SYSTEM AND METHOD FOR MONITORING TIRE HEALTH | PECHE, JORGE O | 3656 | §102§103 | Non-Final OA | 42d | Pending | Oct 31, 2024 |
| 18891113 | PERCEPTION SYSTEM FOR AUTONOMOUS VEHICLES | YANG, WEI WEN | — | §103 | Non-Final OA | — | Pending | Sep 20, 2024 |
| 18773299 | FAULT INJECTION TOOL FOR SAFETY DRIVER TRAINING | ZAMAN, SADARUZ | 3715 | §101§102 | Non-Final OA | — | Pending | Jul 15, 2024 |
| 18664712 | SYSTEMS AND METHODS FOR AUTONOMOUS DRIVING BASED ON BOUNDED TRACKING | FEES, CHRISTOPHER GEORGE | 3662 | §102§103 | Non-Final OA | 16d | Pending | May 15, 2024 |
| 18662833 | MULTI-NODE COMPUTATIONAL ARCHITECTURE FOR CONTROL OF AUTONOMOUS VEHICLES | AYAD, MARIA S | 2172 | §103 | Non-Final OA | — | Pending | May 13, 2024 |
| 18444113 | SYSTEM, METHOD, AND APPARATUS FOR VIBRATION ISOLATION | BREENE, JOHN E | 2855 | §112 | Final Rejection | 39d | Pending | Feb 16, 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 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial