Prosecution Insights
Last updated: July 17, 2026
Application No. 18/306,578

FEATURE SELECTION FOR REAL-TIME INFERENCE WITH MULTIPLE UNRELIABLE SENSORS AT THE EDGE

Final Rejection §101
Filed
Apr 25, 2023
Examiner
HAN, JOSEP
Art Unit
2122
Tech Center
2100 — Computer Architecture & Software
Assignee
Dell Products L.P.
OA Round
2 (Final)
37%
Grant Probability
At Risk
3-4
OA Rounds
1y 0m
Est. Remaining
44%
With Interview

Examiner Intelligence

Grants only 37% of cases
37%
Career Allowance Rate
7 granted / 19 resolved
-18.2% vs TC avg
Moderate +7% lift
Without
With
+6.7%
Interview Lift
resolved cases with interview
Typical timeline
4y 3m
Avg Prosecution
20 currently pending
Career history
52
Total Applications
across all art units

Statute-Specific Performance

§101
8.5%
-31.5% vs TC avg
§103
79.7%
+39.7% vs TC avg
§102
9.8%
-30.2% vs TC avg
§112
0.7%
-39.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 19 resolved cases

Office Action

§101
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 . Detailed Action The following action is in response to the communication(s) received on 03/20/2026. As of the claims filed 03/20/2026: Claims 1 and 11 have been amended. Claims 1-20 are pending. Claims 1 and 11 are independent claims. Response to Arguments Applicant’s arguments filed 03/20/2026 have been fully considered, but are not fully persuasive. With respect to the rejection under 35 USC § 101: Applicant asserts that the claims do not recite abstract ideas (Step 2A Prong One) since they involve dynamic reconfiguration of model input based on ranking and reliability (p.8 ¶1). Examiner respectfully submits that the abstract ideas are not identified as the reconfiguration of inputs, but combining health scores, ranking features of data points, selecting a subset of features based on the features, and performing an inference, all of which are practical to perform in the human mind with an aid of pen and paper. Applicant further asserts that the claims recite an integration to a practical application (in Step 2A Prong Two) through an improvement of reliability of robot control decisions (p.8 ¶2). Examiner respectfully submits that, as currently recited, the improvements in the claimed invention are directed towards making an inference with the machine learning model merely being generally linked to the abstract idea. Thus, the improvement is directed towards an abstract idea. Applicant further asserts that the claims recite significantly more (in Step 2B), as the variable number of input feature, the ranking derived from lazy feature importance and sensor health scores are used to train the model. (p.8 last ¶). Examiner respectfully submits that the method of selecting features and combining feature importances are performable in the human mind. Thus, these limitations are analyzed through Step 2A Prong One and not in Step 2B. Thus, the claims remain ineligible. With respect to the rejection under 35 USC § 103: The amendments have overcome the patent eligibility rejection; thus, the art rejections have been withdrawn. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-20 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more. Claim 1 recites method, thus a process, one of the four statutory categories of patentable subject matter (Step 1). However, Claim 1 further recites: calculating, at inference time for the data point, a lazy feature importance for an available feature of the data point, the lazy feature importance corresponding to an importance of a feature value of the data point for classifying that data point, which is an evaluation or judgement that can be performed in the human mind; combining the lazy feature importance with a health score of a sensor that collected data associated with the available feature, to obtain a final feature score for the available feature, wherein the health score indicates reliability of the sensor at the time of inference, which is an evaluation or judgement that can be performed in the human mind; ranking the features of the data point based on the respective final feature scores to generate a feature ranking for the data point, which is an evaluation or judgement that can be performed in the human mind; selecting a subset of features of the data point based on the feature ranking such that higher ranged features are selected and features associated with unreliable sensors are excluded from the subset, which is an evaluation or judgement that can be performed in the human mind; performing... an inference, using only those features in the subset of features, and the inference concerns an aspect of the autonomous mobile robot or the environment., which is an evaluation or judgement that can be performed in the human mind. Thus, the claim recites an abstract idea under Step 2A Prong 1. Under Step 2A Prong 2, the claim does not include any additional elements which integrate the abstract idea into a practical application, since the additional elements consist of: consolidating a data point concerning an autonomous mobile robot that operates in an environment, which is merely an insignificant extra-solution activity of data gathering, which by MPEP 2106.05(g) cannot integrate an abstract idea into a practical application; …, with a machine learning model configured to accept a variable number of input features, an inference…, and wherein the machine learning model is trained or configured based at least in part on feature rankings derived from combinations of lazy feature importance and sensor health scores, as the performance of an abstract idea on a computer is not more than instructions to "apply it" on a computer, which by MPEP 2106.05(f) cannot integrate an abstract idea into a practical application; wherein the subset of features is dynamically determined for the data point and the inference is performed in real time at an edge device of the autonomous mobile robot to control operation of the autonomous mobile robot in response to conditions in the environment…, which merely specifies the particular field of use or particular technological environment in which the abstract idea is to be performed, which by MPEP 2106.05(h) cannot integrate the abstract idea into a practical application. Thus, the claim is directed towards an abstract idea. Further, the additional elements, alone or in combination, do not provide significantly more than the abstract idea itself, because implementation on a computer (MPEP 2106.05(f)); the particular field of use or particular technological environment (MPEP 2106.05(h)) cannot provide significantly more; and the activity of data gathering(MPEP 2106.05(g)) cannot provide significantly more, as storing and retrieving information in memory is well understood, routine, and conventional (MPEP 2106.05(d)(II)(iv)) and the combination of additional elements does not provide an inventive concept. Thus, the claim is ineligible. Claim 2, dependent upon Claim 1, further recites the data point comprises a set of feature values that each pertain to a respective feature, which is merely a detail of an abstract idea (calculating a lazy feature importance for an available feature of the data point). Thus, the claim recites an abstract idea under Step 2A Prong 1. Under Step 2A Prong 2 and 2B, the claim does not recite any new additional elements which could integrate the abstract idea into a practical application or provide significantly more than the abstract idea itself. Thus, the claim is ineligible. Claim 3, dependent upon Claim 1, further recites no additional abstract ideas. However: Under Step 2A Prong 2, the claim does not include any additional elements which integrate the abstract idea into a practical application, since the additional elements consist of: the available feature is a feature of either the autonomous mobile robot, or of the environment, which merely specifies the particular field of use or particular technological environment in which the abstract idea is to be performed, which by MPEP 2106.05(h) cannot integrate the abstract idea into a practical application. Thus, the claim is directed towards an abstract idea. Further, under Step 2B, the additional element does not provide significantly more than the abstract idea itself, because the particular field of use or particular technological environment (MPEP 2106.05(h)) cannot provide significantly more. Thus, the claim is ineligible. Claim 4, dependent upon Claim 1, further recites no additional abstract ideas. However: Under Step 2A Prong 2, the claim does not include any additional elements which integrate the abstract idea into a practical application, since the additional elements consist of: the inference comprises a prediction or classification of an event detected, or anticipated, in the environment by the autonomous mobile robot., which merely specifies the particular field of use or particular technological environment in which the abstract idea is to be performed, which by MPEP 2106.05(h) cannot integrate the abstract idea into a practical application. Thus, the claim is directed towards an abstract idea. Further, under Step 2B, the additional element does not provide significantly more than the abstract idea itself, because the particular field of use or particular technological environment (MPEP 2106.05(h)) cannot provide significantly more. Thus, the claim is ineligible. Claim 5, dependent upon Claim 1, further recites no additional abstract ideas. However: Under Step 2A Prong 2, the claim does not include any additional elements which integrate the abstract idea into a practical application, since the additional elements consist of: the model comprises a lazy learner classifier, as the performance of an abstract idea on a computer is not more than instructions to "apply it" on a computer, which by MPEP 2106.05(f) cannot integrate an abstract idea into a practical application. Thus, the claim is directed towards an abstract idea. Further, under Step 2B, the additional element does not provide significantly more than the abstract idea itself, because implementation on a computer (MPEP 2106.05(f)) cannot provide significantly more. Thus, the claim is ineligible. Claim 6, dependent upon Claim 1, further recites no additional abstract ideas. However: Under Step 2A Prong 2, the claim does not include any additional elements which integrate the abstract idea into a practical application, since the additional elements consist of: the model is operable to run on an edge device, as the performance of an abstract idea on a computer is not more than instructions to "apply it" on a computer, which by MPEP 2106.05(f) cannot integrate an abstract idea into a practical application. Thus, the claim is directed towards an abstract idea. Further, under Step 2B, the additional element does not provide significantly more than the abstract idea itself, because implementation on a computer (MPEP 2106.05(f)) cannot provide significantly more. Thus, the claim is ineligible. Claim 7, dependent upon Claim 1, further recites the health score indicates a level of reliability of the sensor, which is merely a detail of an abstract idea (combining the lazy feature importance with a health score of a sensor…); Thus, the claim recites an abstract idea under Step 2A Prong 1. Under Step 2A Prong 2 and 2B, the claim does not recite any new additional elements which could integrate the abstract idea into a practical application or provide significantly more than the abstract idea itself. Thus, the claim is ineligible. Claim 8, dependent upon Claim 1, further recites the lazy feature importance is determined based on data collected by the sensor, which is merely a detail of an abstract idea (calculating a lazy feature importance…). Thus, the claim recites an abstract idea under Step 2A Prong 1. Under Step 2A Prong 2 and 2B, the claim does not recite any new additional elements which could integrate the abstract idea into a practical application or provide significantly more than the abstract idea itself. Thus, the claim is ineligible. Claim 9, dependent upon Claim 1, further recites no additional abstract ideas. However: Under Step 2A Prong 2, the claim does not include any additional elements which integrate the abstract idea into a practical application, since the additional elements consist of: the sensor comprises a sensor deployed on the autonomous mobile robot, or a sensor in the environment, which merely specifies the particular field of use or particular technological environment in which the abstract idea is to be performed, which by MPEP 2106.05(h) cannot integrate the abstract idea into a practical application. Thus, the claim is directed towards an abstract idea. Further, under Step 2B, the additional element does not provide significantly more than the abstract idea itself, because the particular field of use or particular technological environment (MPEP 2106.05(h)) cannot provide significantly more. Thus, the claim is ineligible. Claim 10, dependent upon Claim 1, further recites no additional abstract ideas. However: Under Step 2A Prong 2, the claim does not include any additional elements which integrate the abstract idea into a practical application, since the additional elements consist of: the machine learning model is updated, with the features in the subset of features, in real time, which merely specifies the particular field of use or particular technological environment in which the abstract idea is to be performed, which by MPEP 2106.05(h) cannot integrate the abstract idea into a practical application. Thus, the claim is directed towards an abstract idea. Further, under Step 2B, the additional element does not provide significantly more than the abstract idea itself, because the particular field of use or particular technological environment (MPEP 2106.05(h)) cannot provide significantly more. Thus, the claim is ineligible. Claims 11-20 recite A non-transitory storage medium, thus an article of manufacture, one of the four statutory categories of patentable subject matter. However, Claims 11-20 recite having stored therein instructions that are executable by one or more hardware processors to perform operations comprising precisely the abstract ideas and additional elements of Claims 1-10, respectively. Therefore, Step 2A Prong 1 analysis remains the same. As for Step 2A Prong 2 and Step 2B: performance on a computer cannot integrate an abstract idea into a practical application (Step 2A Prong 2) nor provide significantly more than the abstract idea itself (Step 2B) (MPEP 2106.05(f)), Claims 11-20 are rejected as subject-matter ineligible for reasons set forth in the rejections of Claims 1-10, respectively. Allowable Subject Matter Claims 1-20 have been searched, but no prior art which teaches them has been uncovered. 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 nonprovisional extension fee (37 CFR 1.17(a)) 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 mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to JOSEP HAN whose telephone number is (703)756-1346. The examiner can normally be reached Mon-Fri 9am-5pm. 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, Kakali Chaki can be reached on (571) 272-3719. 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. /J.H./Examiner, Art Unit 2122 /KAKALI CHAKI/Supervisory Patent Examiner, Art Unit 2122
Read full office action

Prosecution Timeline

Apr 25, 2023
Application Filed
Jan 09, 2026
Non-Final Rejection mailed — §101
Mar 18, 2026
Examiner Interview Summary
Mar 18, 2026
Applicant Interview (Telephonic)
Mar 20, 2026
Response Filed
Jun 30, 2026
Final Rejection mailed — §101 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12651042
SYSTEM AND METHOD FOR MACHINE LEARNING FAIRNESS TESTING
4y 8m to grant Granted Jun 09, 2026
Patent 12585965
INTERACTIVE MACHINE-LEARNING FRAMEWORK
3y 11m to grant Granted Mar 24, 2026
Study what changed to get past this examiner. Based on 2 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

3-4
Expected OA Rounds
37%
Grant Probability
44%
With Interview (+6.7%)
4y 3m (~1y 0m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 19 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month