Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
13 pending office actions • 6 art units • 10 examiners • 0 of 13 (0%) have an AI response strategy ready • 24 patents granted in the last 365 days
Irobot Corporation currently manages 15 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed across 7 distinct art units, suggesting that the company's mechanical innovations are concentrated in specific technical fields. The count of 15 pending office actions is handled by 12 distinct examiners, which is fewer than the total number of actions.
CHANG, SUKWOO JAMES is the busiest examiner for the portfolio, overseeing 4 pending office actions. This concentration of 4 actions under one examiner represents a significant portion of the 15 total pending office actions. With 12 distinct examiners and 7 distinct art units, Irobot Corporation faces a mix of concentrated and distributed prosecution. The fact that CHANG, SUKWOO JAMES handles 4 pending office actions suggests a focal point for practitioner attention.
Most of the 12 distinct examiners handle only a single matter, while the busiest examiner manages 4 pending office actions. This distribution across 7 distinct art units requires a strategy that balances the influence of CHANG, SUKWOO JAMES with the diverse requirements of other examiners. Practitioners should note that the 15 pending office actions are not evenly spread, allowing for some consistency in specific technical areas.
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 |
|---|---|
| §101 + other | 2 (15%) |
| §103 only | 6 (46%) |
| §102 only | 1 (8%) |
| Multi-statute (no §101) | 4 (31%) |
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 |
|---|---|---|---|
| CHANG, SUKWOO JAMES | 4 | 58.0% | +41.8% |
| NGUYEN, BAO LONG T | 1 | 83.1% | +7.2% |
| HOLMAN, JOHN D | 1 | 60.2% | +20.2% |
| TAN, OLIVER E | 1 | 72.6% | +8.8% |
| HEFLIN, HARRISON JAMES RIEL | 1 | 72.3% | +14.4% |
| PATTON, SPENCER D | 1 | 74.2% | +21.1% |
| HORTON, ANDREW ALAN | 1 | 80.7% | +17.8% |
| ALSOMAIRY, IBRAHIM ABDOALATIF | 1 | 39.4% | +5.5% |
| XIA, XUYANG | 1 | 72.7% | +52.4% |
| ZAWORSKI, JONATHAN R | 1 | 52.4% | +26.0% |
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 |
|---|---|---|---|
| 19312402 | CLEANING PRIORITIZATION FOR MOBILE CLEANING ROBOT | NGUYEN, BAO LONG T | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17994486 | MOBILE CLEANING ROBOT WITH A SPACER | CHANG, SUKWOO JAMES | 48d |
| 19300202 | USER FEEDBACK ON POTENTIAL OBSTACLES AND ERROR CONDITIONS DETECTED BY AUTONOMOUS MOBILE ROBOTS | HOLMAN, JOHN D | — |
| 19297279 | MAPPING STASIS FOR MOBILE CLEANING ROBOT | TAN, OLIVER E | — |
| 19210223 | SYSTEMS AND METHODS FOR DOCK PLACEMENT FOR AN AUTONOMOUS MOBILE ROBOT | HEFLIN, HARRISON JAMES RIEL | — |
| 19035194 | CONTROL OF AUTONOMOUS MOBILE ROBOTS | PATTON, SPENCER D | — |
| 18970319 | BRUSH FOR AUTONOMOUS CLEANING ROBOT | HORTON, ANDREW ALAN | — |
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 |
|---|---|---|---|
| 17991071 | PROACTIVE MAINTENANCE IN AN AUTONOMOUS MOBILE ROBOT | XIA, XUYANG | 8d |
| 17994486 | MOBILE CLEANING ROBOT WITH A SPACER | CHANG, SUKWOO JAMES | 48d |
| 18207346 | MOBILE CLEANING ROBOT INCLUDING SCRUBBING FEATURES | CHANG, SUKWOO JAMES | 49d |
| 19300202 | USER FEEDBACK ON POTENTIAL OBSTACLES AND ERROR CONDITIONS DETECTED BY AUTONOMOUS MOBILE ROBOTS | HOLMAN, JOHN D | — |
| 19210223 | SYSTEMS AND METHODS FOR DOCK PLACEMENT FOR AN AUTONOMOUS MOBILE ROBOT | HEFLIN, HARRISON JAMES RIEL | — |
| 19035194 | CONTROL OF AUTONOMOUS MOBILE ROBOTS | PATTON, SPENCER D | — |
| 18970319 | BRUSH FOR AUTONOMOUS CLEANING ROBOT | HORTON, ANDREW ALAN | — |
| 17878411 | EVACUATION STATION | CHANG, SUKWOO JAMES | — |
| Art Unit | Apps |
|---|---|
| 3723 | 5 |
| 3656 | 2 |
| 3667 | 2 |
| 3669 | 1 |
| 3665 | 1 |
| 2143 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19312402 | CLEANING PRIORITIZATION FOR MOBILE CLEANING ROBOT | NGUYEN, BAO LONG T | 3656 | §102 | Non-Final OA | — | Pending | Aug 28, 2025 |
| 19300202 | USER FEEDBACK ON POTENTIAL OBSTACLES AND ERROR CONDITIONS DETECTED BY AUTONOMOUS MOBILE ROBOTS | HOLMAN, JOHN D | 3667 | §102§103 | Non-Final OA | — | Pending | Aug 14, 2025 |
| 19297279 | MAPPING STASIS FOR MOBILE CLEANING ROBOT | TAN, OLIVER E | 3669 | §102§103§112Other | Non-Final OA | — | Pending | Aug 12, 2025 |
| 19210223 | SYSTEMS AND METHODS FOR DOCK PLACEMENT FOR AN AUTONOMOUS MOBILE ROBOT | HEFLIN, HARRISON JAMES RIEL | 3665 | §101§103 | Non-Final OA | — | Pending | May 16, 2025 |
| 19035194 | CONTROL OF AUTONOMOUS MOBILE ROBOTS | PATTON, SPENCER D | 3656 | §101§102§103 | Non-Final OA | — | Pending | Jan 23, 2025 |
| 18970319 | BRUSH FOR AUTONOMOUS CLEANING ROBOT | HORTON, ANDREW ALAN | — | §102§103§112 | Non-Final OA | — | Pending | Dec 05, 2024 |
| 18207346 | MOBILE CLEANING ROBOT INCLUDING SCRUBBING FEATURES | CHANG, SUKWOO JAMES | 3723 | §103 | Final Rejection | 49d | Pending | Jun 08, 2023 |
| 18118825 | MAPPING NEGATIVE SPACE FOR AUTONOMOUS MOBILE ROBOT | ALSOMAIRY, IBRAHIM ABDOALATIF | 3667 | §103 | Final Rejection | 43d | Pending | Mar 08, 2023 |
| 17994486 | MOBILE CLEANING ROBOT WITH A SPACER | CHANG, SUKWOO JAMES | 3723 | §103§112 | Final Rejection | 48d | Pending | Nov 28, 2022 |
| 17991071 | PROACTIVE MAINTENANCE IN AN AUTONOMOUS MOBILE ROBOT | XIA, XUYANG | 2143 | §103 | Non-Final OA | 8d | Pending | Nov 21, 2022 |
| 17878411 | EVACUATION STATION | CHANG, SUKWOO JAMES | 3723 | §103 | Non-Final OA | — | Pending | Aug 01, 2022 |
| 17673386 | MAINTENANCE ALERTS FOR AUTONOMOUS CLEANING ROBOTS | ZAWORSKI, JONATHAN R | 3723 | §103 | Non-Final OA | — | Pending | Feb 16, 2022 |
| 16950226 | SYSTEMS AND METHODS FOR SCHEDULING MOBILE ROBOT MISSIONS | CHANG, SUKWOO JAMES | 3723 | §103 | Non-Final OA | — | Pending | Nov 17, 2020 |
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Start Free TrialIrobot Corporation has 13 pending office actions as of October 2026, spread across 6 art units and 10 examiners.
Sukwoo James Chang has the most, with 4 of Irobot Corporation's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
