US 2014/0195195 A1 · OBJECT INVESTIGATION AND CLASSIFICATION

Abstract

An object investigation and classification system may include an object test system, a data storage system, and a data processing system. The object test system may receive a command to perform at least one action with a test object, perform the at least one action with the test object, and return test information indicative of at least one percept resulting from the at least one action. The data storage system may contain an experience database containing data indicative of multiple classifications and, for each classification, at least one action that was performed with at least one previously-observed reference object having this classification, and at least one percept value that is based in whole or in part on the test information resulting from the at least one action. The data processing system may: a) for each of multiple different classifications, compute or receive an initial prior probability that a test object falls within the classification; b) determine at least one action that should be performed with the test object to obtain at least one percept about the test object that is likely to enable the classification of the test object to be more accurately determined based on the initial prior probabilities and the data within the experience database; c) cause the object test system to perform the at least one action with the test object; d) receive test information from the object test system indicative of at least one percept resulting from the at least one action with the test object; e) compute at least one percept value; f) for each of multiple different classifications, determine a posterior probability that the test object falls within the classification based on the initial prior probability, the at least one percept value, and data within the experience database; g) determine whether any of the posterior probabilities meets or exceeds a threshold; h) if none of the posterior probabilities meet or exceed the threshold, repeat b) through i), substituting the posterior probabilities determined in f) for the initial prior probabilities in b); and/or i) when one or more of the posterior probabilities meets or exceeds the threshold, output information indicative of one or more of the classifications that correspond to the one or more posterior probabilities that meets or exceeds the threshold.

Claims33

Dependent claims

An object investigation and classification system comprising:

an object test system that receives a command to perform at least one action with a test object, performs the at least one action with the test object, and returns test information indicative of at least one percept resulting from the at least one action;
a data storage system that contains an experience database containing data indicative of multiple classifications and, for each classification, at least one action that was performed with at least one previously-observed reference object having this classification, and at least one percept value that is based in whole or in part on the test information resulting from the at least one action;
and
a data processing system that:
a) for each of multiple different classifications, computes or receives an initial prior probability that a test object falls within the classification;
b) determines at least one action that should be performed with the test object to obtain at least one percept about the test object that is likely to enable the classification of the test object to be more accurately determined based on the initial prior probabilities and the data within the experience database;
c) causes the object test system to perform the at least one action with the test object;
d) receives test information from the object test system indicative of at least one percept resulting from the at least one action with the test object;
e) computes at least one percept value;
f) for each of multiple different classifications, determines a posterior probability that the test object falls within the classification based on the initial prior probability, the at least one percept value, and data within the experience database;
g) determines whether any of the posterior probabilities meets or exceeds a threshold;
h) if none of the posterior probabilities meet or exceed the threshold, repeats b) through i), substituting the posterior probabilities determined in f) for the initial prior probabilities in b);
and
i) when one or more of the posterior probabilities meets or exceeds the threshold, outputs information indicative of one or more of the classifications that correspond to the one or more posterior probabilities that meets or exceeds the threshold.

11 more elements

A non-transitory, tangible, computer-readable storage medium containing a program of instructions that cause a computer system running the program of instructions to perform the following functions in connection with an object test system that receives a command to perform at least one action with a test object, performs the at least one action with the test object, and returns test information indicative of at least one percept resulting from the at least one action;

and a data storage system that contains an experience database containing data indicative of multiple classifications and, for each classification, at least one action that was performed with at least one previously-observed reference object having this classification, and at least one percept value that is based in whole or in part on the test information resulting from the at least one action:
a) for each of multiple different classifications, computes or receives an initial prior probability that a test object falls within the classification;
b) determines at least one action that should be performed with the test object to obtain at least one percept about the test object that is likely to enable the classification of the test object to be more accurately determined based on the initial prior probabilities and the data within the experience database;
c) causes the object test system to perform the at least one action with the test object;
d) receives test information from the object test system indicative of at least one percept resulting from the at least one action with the test object;
e) computes at least one percept value;
f) for each of multiple different classifications, determines a posterior probability that the test object falls within the classification based on the initial prior probability, the at least one percept value, and data within the experience database;
g) determines whether any of the posterior probabilities meets or exceeds a threshold;
h) if none of the posterior probabilities meet or exceed the threshold, repeats b) through i), substituting the posterior probabilities determined in f) for the initial prior probabilities in b);
and
i) when one or more of the posterior probabilities meets or exceeds the threshold, outputs information indicative of one or more of the classifications that correspond to the one or more posterior probabilities that meets or exceeds the threshold.

8 more elements

Dependencies are inferred from the claim text.

Object investigation and classification

Life of this patent

Object investigation and classification

Life of this patent

Abstract

Claims33