Prosecution Insights
Last updated: April 19, 2026
Application No. 18/266,581

METHOD FOR CONFIGURING UAV NETWORK BY UTILIZING MULTIMODAL SENSOR INFORMATION

Final Rejection §103
Filed
Aug 03, 2023
Examiner
JAVAID, JAMAL
Art Unit
2412
Tech Center
2400 — Computer Networks
Assignee
Ajou University Industry-Academic Cooperation Foundation
OA Round
2 (Final)
88%
Grant Probability
Favorable
3-4
OA Rounds
2y 8m
To Grant
94%
With Interview

Examiner Intelligence

Grants 88% — above average
88%
Career Allow Rate
846 granted / 957 resolved
+30.4% vs TC avg
Moderate +6% lift
Without
With
+5.9%
Interview Lift
resolved cases with interview
Typical timeline
2y 8m
Avg Prosecution
55 currently pending
Career history
1012
Total Applications
across all art units

Statute-Specific Performance

§101
7.2%
-32.8% vs TC avg
§103
57.8%
+17.8% vs TC avg
§102
13.5%
-26.5% vs TC avg
§112
13.6%
-26.4% vs TC avg
Black line = Tech Center average estimate • Based on career data from 957 resolved cases

Office Action

§103
DETAILED ACTION Status of Case The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . This Office Action is in response to the claims filed on 1/5/2026. Claims 1-12 are pending. Response to Arguments Applicant’s arguments filed on 1/5/2026 with respect to the pending claims have been considered but are moot because the arguments do not apply to any of the references being used in the current rejection. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 1-3, 5-9, and 11-12 are rejected under 35 U.S.C. 103 as being unpatentable over Michini (USPAN 2018/0004207) in view of Hong (USPAN 2021/0159970). Consider claim 1, Michini discloses a method for configuring the topology of a network consisted by a plurality of unmanned aerial vehicles (UAV) (see paragraph 22: “ground control system 150 may connect to one or more UAVs 160 through network 180”; also, see figure 1, reproduced below for convenience), the method comprising the steps of: (a) receiving current location, movement direction, speed and sensor information of each unmanned aerial vehicle (see paragraph 190: the UAV primary processing system may use various sensors to determine the vehicles current geo-spatial location, attitude, altitude, velocity, direction…; also, see paragraphs 57 and 70: sensor information); (b) calculating location and link quality of each unmanned aerial vehicle after a predetermined time by using the current location, the movement direction, the speed and the sensor information (see abstract and paragraphs 49, 57, 64, and 190: using the collected data to determine each UAV’s location and signal strength at various locations (e.g., RSSI)); and (c) configuring a network topology that is capable of communication in the shortest time or with the highest quality according to the calculated location and the link quality (see paragraphs 90 and 91: dynamically adjusting the UAV’s flight plan and/or flight path based on the signal strength / RSSI at various locations, i.e. configuring network topology based on location and link quality; see paragraph 90: “For example, UAV 220 can detect RSSI values that indicate a signal strength at various locations that is stronger or weaker than the expected values. UAV 220 can detect RSSI values that indicate the transmitter is broadcasting in a different direction or orientation than expected”). PNG media_image1.png 638 526 media_image1.png Greyscale Michini does not specifically disclose that the network topology includes a first unmanned aerial vehicle and at least one second unmanned aerial vehicle from among the plurality of unmanned aerial vehicles, wherein the at least one second unmanned aerial vehicle is configured to relay communication between the first unmanned aerial vehicle and a base station. Hong discloses that the network topology includes a first unmanned aerial vehicle and at least one second unmanned aerial vehicle from among the plurality of unmanned aerial vehicles, wherein the at least one second unmanned aerial vehicle is configured to relay communication between the first unmanned aerial vehicle and a base station (see paragraph 87: The relay unmanned aerial vehicle 303 may serve to relay communication between the island base stations 314 and the LEO satellites 301 to ensure connectivity with the base stations). It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to modify the invention of Michini and combine it with the noted teachings of Hong. The motivation to combine these references is to provide a maritime communication system based on low earth orbit (LEO) satellites and an unmanned aerial vehicle (UAV) in a manner that reduces latency (see paragraphs 2-14 of Hong). Consider claims 2 and 8, Michini discloses correcting the location of each unmanned aerial vehicle after the predetermined time according to wind direction and wind velocity information among the sensor information (see paragraph 40: “Flight control module 164 can perform this process periodically while in flight to adjust the heading of UAV 160 so that UAV 160 can travel to the next waypoint. For example, if UAV 160 is flying in an environment with a strong wind, flight control module 164 may need to adjust the heading of UAV 160 many times as it is blown around by the wind in order to reach the next waypoint”). Consider claims 3 and 9, Michini discloses receiving the sensor information from the plurality of unmanned aerial vehicles configuring the network (see paragraph 70: “UAV 220 can include mission specific hardware and/or software for performing the RF transmitter tower inspection described above. For example, UAV 220 can include RF signal sensor 222 and/or RF signal sensor 223”; see paragraph 71: “In some implementations, UAV 220 can include optical sensor 224”; see paragraph 101: “UAV 220 can include directional RF sensor 222 and directional RF sensor 223”). Consider claims 5 and 11, Michini discloses determining network quality by using the sensor information (see paragraph 70: “UAV 220 can include mission specific hardware and/or software for performing the RF transmitter tower inspection described above. For example, UAV 220 can include RF signal sensor 222 and/or RF signal sensor 223”; from paragraph 57: “…the RF signal sensor can be a radio receiver configured to generate a received signal strength indication (RSSI) for a signal received by the RF signal sensor”). Consider claims 6 and 12, Michini discloses determining the network speed or network quality by using the movement direction of each unmanned aerial vehicle, angle between neighboring nodes and the link quality at the calculated location (see paragraph 190: the UAV primary processing system may use various sensors to determine the vehicles current geo-spatial location, attitude, altitude, velocity, direction…; see abstract and paragraphs 49, 57, 64, and 190: using the collected data to determine each UAV’s location and signal strength at various locations (e.g., RSSI); see paragraph 63: “…mission planning module 210 can generate a flight plan that includes a take-off location, a landing location, and one or more waypoints that will allow UAV 220 to inspect the points of interest generated or determined by mission planning module 210 while avoiding the obstructions and no-fly zones specified in the mission request and/or map data corresponding to the target object,” which thereby involves taking into account the angle between neighboring nodes). Consider claim 7, Michini discloses a device for configuring the topology of a UAV network (see figures 10, 11A, and 11B, wherein disclosed is said device), comprising: a communicator for receiving current location, movement direction, speed and sensor information of each unmanned aerial vehicle from a plurality of unmanned aerial vehicles (see paragraph 22: “ground control system 150 may connect to one or more UAVs 160 through network 180”; also, see figure 1, reproduced below for convenience; see paragraph 190: the UAV primary processing system may use various sensors to determine the vehicles current geo-spatial location, attitude, altitude, velocity, direction…; also, see paragraphs 57 and 70: sensor information); and a controller for calculating location of each unmanned aerial vehicle after a predetermined time in consideration of weather information (see paragraphs 40, 79-80, 130, and 138: consideration of wind and temperature, i.e. weather information) by using the current location, the movement direction, the speed and the sensor information (see abstract and paragraphs 49, 57, 64, and 190: using the collected data to determine each UAV’s location and signal strength at various locations (e.g., RSSI)), and configuring a network topology that is capable of communication in the shortest time or with the highest quality according to the calculated location (see paragraphs 90 and 91: dynamically adjusting the UAV’s flight plan and/or flight path based on the signal strength / RSSI at various locations, i.e. configuring network topology based on location and link quality; see paragraph 90: “For example, UAV 220 can detect RSSI values that indicate a signal strength at various locations that is stronger or weaker than the expected values. UAV 220 can detect RSSI values that indicate the transmitter is broadcasting in a different direction or orientation than expected”). PNG media_image1.png 638 526 media_image1.png Greyscale Claims 4 and 10 are rejected under 35 U.S.C. 103 as being unpatentable over Michini (USPAN 2018/0004207) in view of Hong (USPAN 2021/0159970) and Myshak (USPAN 2018/0209902). Consider claims 4 and 10, Michini does not specifically disclose that the period of receiving the sensor information is adjusted by using the wind velocity information among the sensor information. Myshak discloses that the period of receiving the sensor information is adjusted by using the wind velocity information among the sensor information (see paragraph 41: “…UAV 16 can use weather data from ground bases along with its in-flight pressure, altitude and wind speed sensor (not shown) to adjust the flight path to better position the unit to fly through the center of the gas plume, especially in cases where wind will cause the gas plume to shift over the course of the UAV's flight path. The gas detection program will receive weather data for a region around the UAV flight plan that includes wind speed and direction, and adjust the loopback flight plan to compensate for movement of the target gas caused by wind”). It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to modify the invention of Michini and combine it with the noted teachings of Myshak. The motivation to combine these references is to use an unmanned aerial vehicle (UAV) for detecting a gas and taking into account terrain conditions to thereby provide more accurate measurements and prevent loss or damage to the UAV (see paragraphs 1-3 of Myshak). Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any extension fee pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Jamal Javaid whose telephone number is 571-270-5137 and email address is Jamal.Javaid@uspto.gov. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Charles Jiang, can be reached on 571-270-7191. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). /JAMAL JAVAID/ Primary Examiner, Art Unit 2412
Read full office action

Prosecution Timeline

Aug 03, 2023
Application Filed
Oct 01, 2025
Non-Final Rejection — §103
Jan 05, 2026
Response Filed
Mar 25, 2026
Final Rejection — §103 (current)

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Prosecution Projections

3-4
Expected OA Rounds
88%
Grant Probability
94%
With Interview (+5.9%)
2y 8m
Median Time to Grant
Moderate
PTA Risk
Based on 957 resolved cases by this examiner. Grant probability derived from career allow rate.

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