Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
13 pending office actions • 4 art units • 10 examiners • 0 of 13 (0%) have an AI response strategy ready • 28 patents granted in the last 365 days
Irobot Corporation manages 13 pending office actions in the Medical Devices & Mechanical Engineering technology area. These actions are distributed across 10 distinct examiners. The company's applications are currently being reviewed in 4 distinct art units. CHANG, SUKWOO JAMES is the busiest examiner for the portfolio. This examiner is responsible for 4 busiest examiner pending actions. The data shows 13 pending office actions being handled by many distinct examiners, indicating some concentration of work.
Specifically, the 4 distinct art units suggest that the technology is focused within a few specialized groups. CHANG, SUKWOO JAMES handles 4 busiest examiner pending actions, which is a significant portion of the total pending workload. This concentration with a single examiner in a limited number of art units may allow for a more consistent prosecution strategy. Practitioners can leverage this concentration to streamline communications across the 10 distinct examiners involved in the portfolio.
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 | 4 (31%) |
| §103 only | 4 (31%) |
| §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 | 57.3% | +41.1% |
| NGUYEN, BAO LONG T | 1 | 82.9% | +7.3% |
| HOLMAN, JOHN D | 1 | 58.7% | +21.8% |
| TAN, OLIVER E | 1 | 73.2% | +10.1% |
| HEFLIN, HARRISON JAMES RIEL | 1 | 72.3% | +14.4% |
| AZHAR, ARSLAN | 1 | 78.8% | +19.6% |
| LEWANDROSKI, SARA J | 1 | 81.0% | +9.0% |
| PATTON, SPENCER D | 1 | 74.1% | +21.1% |
| YANG, WENYUAN | 1 | 67.3% | +18.2% |
| XIA, XUYANG | 1 | 72.5% | +52.3% |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18913039 | CONTROLLING ROBOTIC LAWNMOWERS | YANG, WENYUAN | 27d |
| 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 | — |
| 19193159 | Mobile Robot Cleaning System | AZHAR, ARSLAN | — |
| 19193336 | METHODS, SYSTEMS, AND DEVICES FOR MAPPING WIRELESS COMMUNICATION SIGNALS FOR MOBILE ROBOT GUIDANCE | LEWANDROSKI, SARA J | — |
| 19035194 | CONTROL OF AUTONOMOUS MOBILE ROBOTS | PATTON, SPENCER D | — |
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 |
| 18913039 | CONTROLLING ROBOTIC LAWNMOWERS | YANG, WENYUAN | 27d |
| 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 | — |
| 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 | — |
| 19193159 | Mobile Robot Cleaning System | AZHAR, ARSLAN | — |
| Art Unit | Apps |
|---|---|
| 3723 | 4 |
| 3656 | 2 |
| 3667 | 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 | — | §102§103 | Non-Final OA | — | Pending | Aug 14, 2025 |
| 19297279 | MAPPING STASIS FOR MOBILE CLEANING ROBOT | TAN, OLIVER E | — | §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 | — | §101§103 | Non-Final OA | — | Pending | May 16, 2025 |
| 19193159 | Mobile Robot Cleaning System | AZHAR, ARSLAN | — | §101DP | Non-Final OA | — | Pending | Apr 29, 2025 |
| 19193336 | METHODS, SYSTEMS, AND DEVICES FOR MAPPING WIRELESS COMMUNICATION SIGNALS FOR MOBILE ROBOT GUIDANCE | LEWANDROSKI, SARA J | — | §103§112 | Non-Final OA | — | Pending | Apr 29, 2025 |
| 19035194 | CONTROL OF AUTONOMOUS MOBILE ROBOTS | PATTON, SPENCER D | 3656 | §101§102§103 | Non-Final OA | — | Pending | Jan 23, 2025 |
| 18913039 | CONTROLLING ROBOTIC LAWNMOWERS | YANG, WENYUAN | 3667 | §101§102§112 | Non-Final OA | 27d | Pending | Oct 11, 2024 |
| 18207346 | MOBILE CLEANING ROBOT INCLUDING SCRUBBING FEATURES | CHANG, SUKWOO JAMES | 3723 | §103 | Final Rejection | 49d | Pending | Jun 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 |
| 16950226 | SYSTEMS AND METHODS FOR SCHEDULING MOBILE ROBOT MISSIONS | CHANG, SUKWOO JAMES | 3723 | §103 | Non-Final OA | — | Pending | Nov 17, 2020 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial