Prosecution Insights
Last updated: April 19, 2026
Application No. 18/014,506

VACUUM CLEANER

Non-Final OA §102§103
Filed
Jan 05, 2023
Examiner
SOTO, CHRISTOPHER ASHLEY
Art Unit
3723
Tech Center
3700 — Mechanical Engineering & Manufacturing
Assignee
Dyson Technology Limited
OA Round
3 (Non-Final)
54%
Grant Probability
Moderate
3-4
OA Rounds
2y 9m
To Grant
82%
With Interview

Examiner Intelligence

Grants 54% of resolved cases
54%
Career Allow Rate
59 granted / 110 resolved
-16.4% vs TC avg
Strong +29% interview lift
Without
With
+28.9%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
57 currently pending
Career history
167
Total Applications
across all art units

Statute-Specific Performance

§101
0.2%
-39.8% vs TC avg
§103
47.1%
+7.1% vs TC avg
§102
22.8%
-17.2% vs TC avg
§112
26.0%
-14.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 110 resolved cases

Office Action

§102 §103
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 02/10/2026 has been entered. Status of Claims Claims 1, 13, 16, 18, and 19 have been amended. Claims 8 and 14 have been canceled. Claims 1-7, 9-13, and 15-19 have been examined on the merits. Response to Arguments Applicant’s arguments, see Pages 6-11, filed 02/10/2026, with respect to the rejections under 35 U.S.C. § 102(a)(1) and 35 U.S.C. 103 have been considered but are moot because the claims have been amended and the new grounds of rejection do not rely on the reference or combination of references applied in the prior rejection of record for any teaching or matter specifically challenged in the argument. Claim Objections Claim 19 is objected to because of the following informalities: “increases the power of the vacuum motor”, and should be “increases the power of a vacuum motor” to avoid an antecedent error. Appropriate correction is required. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claims 1-7, 9, 13, 15, 18, and 19 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Erko (US 20140013540 A1). Referring to claim 1: Erko discloses a vacuum cleaner (10 Fig. 1) comprising: a sensor (50; “inertial sensor to sense cleaning motion in an x-y plane”; “accelerometer” [0045]) that senses both motion of the vacuum cleaner and orientation of the vacuum cleaner (“sense cleaning motion in an x-y plane” [0045]), and generates a sensor signals (“the motion detector 50 sends a raw signal to the wireless transmitter 46, which simply signals the type of movement taking place.” [0046]) based on both of the sensed motion and orientation (“sense cleaning motion in an x-y plane” [0045]) of the vacuum cleaner; a vacuum motor (14 Fig. 1); and a controller (“CPU 32” [0046, 0047]) in operable communication with the sensor, wherein the controller: performs a pre-processing step on the generated sensor signal (processing step of “whether normal or aggressive cleaning is desired” [0047]), wherein the pre-processing step comprises extracting features from time portions of the sensor signals (“timing system” [0051-0053]); processes the generated sensor signals that is indicative of both the motion and the orientation of the vacuum cleaner to determine a type of cleaning activity operably being performed by a user using the vacuum cleaner based on both the motion and orientation of the vacuum cleaner (“sense cleaning motion in an x-y plane” [0045]; “aggressive cleaning motion (for example, a tap or a rapid back and forth motion” [0044]; “The CPU 32 or the motion detector internal processor analyzes the cleaning motion against a threshold movement criteria to determine whether normal or aggressive cleaning is desired” [0047]), and based on a time of the motion and time of the orientation (time for triggering the “aggressive cleaning motion (for example, a tap or a rapid back and forth motion” [0044]); and increases the power of the vacuum motor in response to determining that the type of cleaning activity (“the CPU 32 prompts the power electronics 30 to increase the voltage output to the motor 14” [0055]) comprises one or more of: spot cleaning, crevice cleaning, and elevated cleaning (“sense cleaning motion in an x-y plane” [0045]). Referring to claim 2: Erko discloses the vacuum cleaner of claim 1, wherein elevated cleaning (“sense cleaning motion in an x-y plane” [0045]) comprises cleaning a surface or an object above a head height of the user (capable of reaching a surface above the height of the user in the x-y plane). Referring to claim 3: Erko discloses the vacuum cleaner of claim 2, wherein the object comprises a window blind or a curtain (“sense cleaning motion in an x-y plane” [0045]; capable of reaching a window blind or a curtain in the x-y plane). Referring to claim 4: Erko discloses the vacuum cleaner of claim 2, wherein the surface comprises a ceiling or a cornice (“sense cleaning motion in an x-y plane” [0045]; capable of reaching a ceiling or a cornice in the x-y plane). Referring to claim 5: Erko discloses the vacuum cleaner of claim 1, wherein the controller is configured to increase the power of the vacuum motor by setting the power of the vacuum motor to a value greater than a pre-determined value (“The CPU 32 or the motion detector internal processor analyzes the cleaning motion against a threshold movement criteria to determine whether normal or aggressive cleaning is desired” [0047]; “the CPU 32 prompts the power electronics 30 to increase the voltage output to the motor 14” [0055]). Referring to claim 6: Erko discloses the vacuum cleaner of claim 5, wherein the pre-determined value corresponds to a default power of the vacuum motor (see steps 114 and 142 “low power mode” in Fig. 3; “For example, if the cleaning motion meets a first threshold movement criteria, the CPU 32 or motion detector internal process identifies the motion as "normal" cleaning motion.” [0047]). Referring to claim 7: Erko discloses the vacuum cleaner of claim 6, wherein the controller is configured to set the power of the vacuum motor to the default power when the vacuum cleaner is initially switched on (see steps 114 and 142 “low power mode” in Fig. 3; “For example, if the cleaning motion meets a first threshold movement criteria, the CPU 32 or motion detector internal process identifies the motion as "normal" cleaning motion.” [0047]). Referring to claim 9: Erko discloses the vacuum cleaner of claim 1, wherein the sensor comprises an inertial measurement unit, IMU (“inertial sensor to sense cleaning motion in an x-y plane” [0045]). Referring to claim 13: Erko discloses the vacuum cleaner of claim 1, wherein the controller is configured to process the sensor signals by performing the pre-processing step and a classification step (processing step of “whether normal or aggressive cleaning is desired” [0047] and classifying the signal into “normal or aggressive”). Referring to claim 15: Erko discloses the vacuum cleaner of claim 13, wherein the pre- processing step comprises filtering the sensor signals (“the motion detector 50 sends a raw signal to the wireless transmitter 46, which simply signals the type of movement taking place.” [0046]). Referring to claim 18: Erko discloses a method of controlling the power (“the CPU 32 prompts the power electronics 30 to increase the voltage output to the motor 14” [0055]) of a vacuum cleaner (10 Fig. 1), the method comprising: generating sensor signals (“inertial sensor to sense cleaning motion in an x-y plane”; “accelerometer” [0045]) based on both a sensed motion of the vacuum cleaner and an orientation of the vacuum cleaner (“sense cleaning motion in an x-y plane” [0045]), pre-processing the generated sensor signals (processing step of “whether normal or aggressive cleaning is desired” [0047]), wherein the pre-processing step comprises extracting features from time portions (“timing system” [0051-0053]) of the sensor signals; processing the generated sensor signals that are indicative of both the motion and the orientation of the vacuum cleaner to determine a type of cleaning activity (“whether normal or aggressive cleaning is desired” [0047]; “the CPU 32 prompts the power electronics 30 to increase the voltage output to the motor 14” [0055]) operably being performed by a user using the vacuum cleaner based on both the motion and orientation of the vacuum cleaner, and based on a time of the motion and time of the orientation (time for triggering the “aggressive cleaning motion (for example, a tap or a rapid back and forth motion” [0044]; “timing system” [0051-0053]); and increases the power of the vacuum motor (“the CPU 32 prompts the power electronics 30 to increase the voltage output to the motor 14” [0055]) in response to determining that the type of cleaning activity comprises one or more of: spot cleaning, crevice cleaning, and elevated cleaning (“sense cleaning motion in an x-y plane” [0045]). Referring to claim 19: Erko discloses a computer program (see Fig. 3) comprising a set of instructions, which, when executed by a computerised device (“CPU 32” [0050]), cause the computerised device to perform a method of controlling the power (“the CPU 32 prompts the power electronics 30 to increase the voltage output to the motor 14” [0055]) of a vacuum cleaner (10 Fig. 1), the method comprising: generating sensor signals (generating sensor signals with 50; “inertial sensor to sense cleaning motion in an x-y plane”; “accelerometer” [0045]) based on both a sensed motion of the vacuum cleaner and an orientation of the vacuum cleaner (“sense cleaning motion in an x-y plane” [0045]); pre-processing the generated sensor signals (processing signals of “whether normal or aggressive cleaning is desired” [0047]), wherein the pre-processing step comprises extracting features from time portions (“timing system” [0051-0053]) of the sensor signals; processing the generated sensor signals that are indicative of both the motion and the orientation of the vacuum cleaner to determine a type of cleaning activity (“The CPU 32 or the motion detector internal processor analyzes the cleaning motion against a threshold movement criteria to determine whether normal or aggressive cleaning is desired” [0047]) operably being performed by a user using the vacuum cleaner based on both the motion and orientation of the vacuum cleaner, and based on a time of the motion and time of the orientation (time for triggering the “aggressive cleaning motion (for example, a tap or a rapid back and forth motion” [0044]); and increases the power (“the CPU 32 prompts the power electronics 30 to increase the voltage output to the motor 14” [0055]) of the vacuum motor in response to determining that the type of cleaning activity comprises one or more of: spot cleaning, crevice cleaning, and elevated cleaning (“sense cleaning motion in an x-y plane” [0045]). Claims 10-12 are rejected under 35 U.S.C. 103 as being unpatentable over Erko (US 20140013540 A1) and Kumar (US 20210245081 A1). Referring to claim 10: Erko discloses the vacuum cleaner of claim 1, but is silent on further comprising: a cleaner head comprising an agitator; and one or more diagnostic sensors configured to generate further sensor signals based on sensed parameters of the cleaner head, wherein the controller is configured to process the generated further sensor signals to determine the type of cleaning activity being performed by the user using the vacuum cleaner. Kumar, in an analogous vacuum cleaner teaches a cleaner head (105 Fig. 3A) comprising an agitator (135 Fig. 3A; “cleaning heads to improve cleaning efficiency by agitating and loosening dirt, dust, and debris” [0006]); and one or more diagnostic sensors (“The autonomous vacuum includes an automated cleaning head that adjusts its height for cleaning a mess based on the mess type, surface type, and/or size of the mess… a variety of sensors in a sensor system for collecting other visual, audio, lidar, IR, time of flight, and inertial data (i.e., sensor data) about the environment.” [0072]) configured to generate further sensor signals based on sensed parameters of the cleaner head, wherein the similar configuration controller (“one or more controllers and/or processors (henceforth referred to as a controller for simplicity) that operate in conjunction with the sensor system 175 to control movement of the cleaning head 105” [0076]) is configured to process the generated further sensor signals to determine the type of cleaning activity (“175 collects and uses sensor data to determine an optimal height for the cleaning head 105 given a surface type” [0076]) being performed by the user using the vacuum cleaner. It would have been obvious to one having ordinary skill in the art before the effective filing date of the claimed invention to modify the vacuum cleaner of Erko with the agitator and diagnostic sensors as taught by Kumar for the purpose of increasing the cleaning efficiency when encountering different surface types. Referring to claim 11: Erko as modified teaches the vacuum cleaner of claim 10, wherein the cleaner head (105 Fig. 3A of Kumar) further comprises an agitator motor (140 Fig. 3A of Kumar) arranged to rotate the agitator (135 Fig. 3A of Kumar) and the sensed parameters of the cleaner head comprise an agitator motor current (“the sensor system 175 may be able to determine an amount of current required to spin each cleaning roller at a set number of rotations per minute (RPM), which may be used to determine a pressure being exerted by the cleaning roller.” [0079] of Kumar). Referring to claim 12: Erko as modified teaches the vacuum cleaner of claim 10, wherein the sensed parameters of the cleaner head comprise the pressure (“In some embodiments, the sensor system 175 determines an amount of pressure needed to clean a mess (e.g., more pressure for a stain than for a spill), and the controller may alter the rotation of the cleaning rollers to match the determined pressure” [0079] of Kumar) applied to the cleaner head (105 Fig. 3A of Kumar). Claims 16 and 17 are rejected under 35 U.S.C. 103 as being unpatentable over Erko (US 20140013540 A1) and Szatmary et al. (U.S. Patent No. 9,717,387 B1). Referring to claim 16: Erko discloses the vacuum cleaner of claim 13, but is silent on wherein the classification step comprises processing the extracted features using a machine learning classifier. Szatmary et al. in an analogous vacuum cleaner (“vacuum cleaner appliance” Abstract) teaches the similar configuration classification step comprises processing the extracted features using a machine learning classifier (“machine learning”; “Learning process of the component 552 may be adjusted in order to develop an association between an instance of the sensory input 538 (e.g., an object representation) and the discrepancy output 554. Various machine learning approaches may be utilized with the component 552, e.g., an artificial neuron network, a look up table, and/or other approaches.” Cols. 28-29, lines 63-2). It would have been obvious to one having ordinary skill in the art before the effective filing date of the claimed invention to modify the vacuum cleaner of Erko with the machine learning classifier as taught by Szatmary et al. for the purpose of, as it is known in the art, increasing the overall operation by enhancing the automated process. Referring to claim 17: Erko as modified teaches the vacuum cleaner of claim 16, but is silent on wherein the machine learning classifier comprises one or more of: an artificial neural network, a random forest and a support-vector machine. Szatmary et al. in an analogous vacuum cleaner (“vacuum cleaner appliance” Abstract) teaches wherein the machine learning classifier comprises one or more of: an artificial neural network, a random forest (“random forests” Col. 29, lines 2-15) and a support- vector machine. It would have been obvious to one having ordinary skill in the art before the effective filing date of the claimed invention to modify the vacuum cleaner of Erko as modified with the random forests machine learning as taught by Szatmary et al. for the purpose of increasing the overall operation by enhancing the automated process. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to CHRISTOPHER SOTO whose telephone number is (571)272-8172. The examiner can normally be reached Monday-Friday, 8a.m. - 5 p.m.. 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, Monica Carter can be reached at 571-272-4475. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. CHRISTOPHER SOTO Examiner Art Unit 3723 /CHRISTOPHER SOTO/Examiner, Art Unit 3723 /MONICA S CARTER/Supervisory Patent Examiner, Art Unit 3723
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Prosecution Timeline

Jan 05, 2023
Application Filed
May 07, 2025
Non-Final Rejection — §102, §103
Aug 14, 2025
Response Filed
Aug 20, 2025
Final Rejection — §102, §103
Nov 10, 2025
Response after Non-Final Action
Feb 10, 2026
Request for Continued Examination
Mar 04, 2026
Response after Non-Final Action
Mar 13, 2026
Non-Final Rejection — §102, §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
54%
Grant Probability
82%
With Interview (+28.9%)
2y 9m
Median Time to Grant
High
PTA Risk
Based on 110 resolved cases by this examiner. Grant probability derived from career allow rate.

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