Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
9 pending office actions • 5 art units • 8 examiners • 0 of 9 (0%) have an AI response strategy ready • 7 patents granted in the last 365 days
Brain Corporation maintains an active prosecution profile with 9 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. This workload is distributed across 5 distinct art units, indicating a broad technical reach within the sector. The company interacts with 8 distinct examiners, which provides a variety of perspectives and examination styles for the applicant to manage. This level of diversity across 5 distinct art units suggests that the company is pursuing a multi-faceted patent strategy.
TRAN, KHOI H is the busiest examiner for the portfolio, currently handling 2 pending office actions. This concentration is relatively low, as the remaining actions are spread among the other 8 distinct examiners. This distribution suggests that the company's patent strategy is not overly dependent on TRAN, KHOI H. The variety of examiners further implies that the company is pursuing multiple technological avenues simultaneously. Practitioners can use the data from these examiners to identify trends in how the office is treating the company's innovations in the Transportation, E-Commerce & Mechanical Systems space. With 9 pending office actions, the company has opportunities to refine its claims across different examiners. The 2 pending office actions with the busiest examiner represent only a small fraction of the total workload.
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 | 3 (33%) |
| §103 only | 3 (33%) |
| §112 only | 3 (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 |
|---|---|---|---|
| TRAN, KHOI H | 2 | 54.9% | +16.9% |
| SMITH, JORDAN T | 1 | 66.3% | +10.2% |
| NGUYEN, BAO LONG T | 1 | 82.9% | +7.3% |
| BUKSA, CHRISTOPHER ALLEN | 1 | 73.6% | +20.1% |
| BENNETT, JENNIFER D | 1 | 73.8% | +18.0% |
| HINTON, HENRY R | 1 | 74.1% | +34.8% |
| LAROSE, RENEE MARIE | 1 | 79.2% | +9.2% |
| HAN, KYU HYUNG | 1 | 43.8% | +36.7% |
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 |
|---|---|---|---|
| 18941788 | SYSTEMS AND METHODS FOR OPTIMIZING ROUTE PLANNING FOR TIGHT TURNS FOR ROBOTIC APPARATUSES | NGUYEN, BAO LONG T | 26d |
| 18961235 | Systems and Methods For Determining a Pose of a Sensor on a Robot | SMITH, JORDAN T | — |
| 18809548 | SYSTEMS AND METHODS FOR ALIGNING A PLURALITY OF LOCAL COMPUTER READABLE MAPS TO A SINGLE GLOBAL MAP AND DETECTING MAPPING ERRORS | HINTON, HENRY 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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18916117 | SYSTEMS AND METHODS FOR LASER IMAGING ODOMETRY FOR AUTONOMOUS ROBOTS | BUKSA, CHRISTOPHER ALLEN | 34d |
| 18961235 | Systems and Methods For Determining a Pose of a Sensor on a Robot | SMITH, JORDAN T | — |
| 18893360 | SYSTEMS AND APPARATUSES FOR A PROTECTIVE MODULE FOR ROBOTIC SENSORS | BENNETT, JENNIFER D | — |
| 18809548 | SYSTEMS AND METHODS FOR ALIGNING A PLURALITY OF LOCAL COMPUTER READABLE MAPS TO A SINGLE GLOBAL MAP AND DETECTING MAPPING ERRORS | HINTON, HENRY R | — |
| 18215326 | SYSTEMS AND METHODS FOR DISTANCE BASED ROBOTIC TIMEOUTS | TRAN, KHOI H | — |
| 18095778 | SYSTEMS AND METHODS FOR ENGAGING BRAKES ON A ROBOTIC DEVICE | TRAN, KHOI H | — |
| 17745088 | SYSTEMS AND METHODS FOR TRAINING NEURAL NETWORKS ON A CLOUD SERVER USING SENSORY DATA COLLECTED BY ROBOTS | HAN, KYU HYUNG | — |
| Art Unit | Apps |
|---|---|
| 3656 | 3 |
| 3658 | 1 |
| 3665 | 1 |
| 3657 | 1 |
| 2123 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18961235 | Systems and Methods For Determining a Pose of a Sensor on a Robot | SMITH, JORDAN T | — | §101§103 | Non-Final OA | — | Pending | Nov 26, 2024 |
| 18941788 | SYSTEMS AND METHODS FOR OPTIMIZING ROUTE PLANNING FOR TIGHT TURNS FOR ROBOTIC APPARATUSES | NGUYEN, BAO LONG T | 3656 | §101§103DP | Final Rejection | 26d | Pending | Nov 08, 2024 |
| 18916117 | SYSTEMS AND METHODS FOR LASER IMAGING ODOMETRY FOR AUTONOMOUS ROBOTS | BUKSA, CHRISTOPHER ALLEN | 3658 | §103 | Non-Final OA | 34d | Pending | Oct 15, 2024 |
| 18893360 | SYSTEMS AND APPARATUSES FOR A PROTECTIVE MODULE FOR ROBOTIC SENSORS | BENNETT, JENNIFER D | — | §112 | Non-Final OA | — | Pending | Sep 23, 2024 |
| 18809548 | SYSTEMS AND METHODS FOR ALIGNING A PLURALITY OF LOCAL COMPUTER READABLE MAPS TO A SINGLE GLOBAL MAP AND DETECTING MAPPING ERRORS | HINTON, HENRY R | 3665 | §101§112 | Non-Final OA | — | Pending | Aug 20, 2024 |
| 18758553 | SYSTEM AND METHOD FOR MOTION CONTROL OF ROBOTS | LAROSE, RENEE MARIE | 3657 | §103 | Non-Final OA | — | Pending | Jun 28, 2024 |
| 18215326 | SYSTEMS AND METHODS FOR DISTANCE BASED ROBOTIC TIMEOUTS | TRAN, KHOI H | 3656 | §112 | Non-Final OA | — | Pending | Jun 28, 2023 |
| 18095778 | SYSTEMS AND METHODS FOR ENGAGING BRAKES ON A ROBOTIC DEVICE | TRAN, KHOI H | 3656 | §112 | Non-Final OA | — | Pending | Jan 11, 2023 |
| 17745088 | SYSTEMS AND METHODS FOR TRAINING NEURAL NETWORKS ON A CLOUD SERVER USING SENSORY DATA COLLECTED BY ROBOTS | HAN, KYU HYUNG | 2123 | §103 | Non-Final OA | — | Pending | May 16, 2022 |
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