Robot and method of controlling same
US-2021046638-A1 · Feb 18, 2021 · US
US12138794B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12138794-B2 |
| Application number | US-201917423147-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 12, 2019 |
| Priority date | Jan 22, 2019 |
| Publication date | Nov 12, 2024 |
| Grant date | Nov 12, 2024 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Provided is an information processing apparatus including a communication unit that transmits sensing data collected by an autonomous mobile object to a server, in which the communication unit transmits the sensing data related to a predetermined learning target to the server, and receives a dictionary for recognition generated by recognition learning using the sensing data collected by a plurality of the autonomous mobile objects and related to the learning target. In addition, provided is an information processing apparatus including a control unit that controls presentation of a progression status related to recognition learning for generating a dictionary for recognition used for an autonomous mobile object, in which the recognition learning is executed by using sensing data collected by a plurality of the autonomous mobile objects and related to a predetermined learning target.
Opening claim text (preview).
The invention claimed is: 1. An information processing apparatus, comprising: a processor configured to: transmit first sensing data collected by a first autonomous mobile object of a plurality of autonomous mobile objects, wherein the first sensing data is related to a learning target; receive a dictionary generated by a recognition learning process, wherein the generation of the dictionary is based on the first sensing data collected by the first autonomous mobile object and second sensing data collected by a second autonomous mobile object of the plurality of autonomous mobile objects, and the second sensing data is related to the learning target; and recognize the learning target based on the received dictionary. 2. The information processing apparatus according to claim 1 , wherein the processor is further configured to receive, based on the recognition of the learning target, control data related to a behavior executed by the first autonomous mobile object. 3. The information processing apparatus according to claim 2 , wherein the processor is further configured to: control a motion of the first autonomous mobile object; and control, based on the control data and the recognition of the learning target, the first autonomous mobile object to execute the behavior. 4. The information processing apparatus according to claim 3 , wherein the processor is further configured to: recognize a specific command; and control, based on the recognized specific command, the first autonomous mobile object to collect the first sensing data related to the learning target. 5. The information processing apparatus according to claim 4 , wherein the processor is further configured to store the collected first sensing data in association with each of information corresponding to the learning target and category information corresponding to the learning target. 6. The information processing apparatus according to claim 1 , wherein the learning target includes a specific object. 7. The information processing apparatus according to claim 1 , wherein the learning target includes a speech of a user and an action of the user. 8. The information processing apparatus according to claim 1 , wherein the learning target includes a specific scene. 9. The information processing apparatus according to claim 1 , wherein the learning target includes a specific terrain. 10. An information processing apparatus, comprising: a processor configured to: receive sensing data collected by a plurality of autonomous mobile objects, wherein the sensing data is related to a learning target; execute a recognition learning process based the sensing data collected by the plurality of autonomous mobile objects; generate, based on the recognition learning process, a dictionary for recognition of the learning target; and control presentation of a progression status related to the recognition learning process. 11. The information processing apparatus according to claim 10 , wherein the progression status includes at least one of a number of the collected sensing data or a number of autonomous mobile objects of the plurality of autonomous mobile objects that has collected the sensing data. 12. The information processing apparatus according to claim 10 , wherein the progression status includes a recognition performance of a recognizer in a middle of the recognition learning process. 13. The information processing apparatus according to claim 10 , wherein the progression status includes a recognition result of a recognizer in a case where the sensing data is input to the recognizer in a middle of the recognition learning process. 14. The information processing apparatus according to claim 13 , wherein the recognition result includes at least one of the sensing data in which the learning target is recognized, the sensing data in which the learning target is not recognized, or the sensing data in which an erroneous target is erroneously recognized as the learning target. 15. The information processing apparatus according to claim 10 , wherein the progression status includes a recognition result of a recognizer in a case where input data designated by a user is input to the recognizer in a middle of the recognition learning process. 16. The information processing apparatus according to claim 10 , wherein the processor is further configured to control presentation of a degree of contribution of a user to the recognition learning process. 17. The information processing apparatus according to claim 16 , wherein the processor is further configured to determine the degree of contribution based on a number of the sensing data provided by the user. 18. An information processing method, comprising: transmitting first sensing data collected by a first autonomous mobile object of a plurality of autonomous mobile objects, wherein the first sensing data is related to a learning target; receiving a dictionary generated by a recognition learning process, wherein the generation of the dictionary is based on the first sensing data collected by the first autonomous mobile object and second sensing data collected by a second autonomous mobile object of the plurality of autonomous mobile objects, and the second sensing data is related to the learning target; and recognizing the learning target based on the received dictionary. 19. An information processing method, comprising: receiving, by a processor, sensing data collected by a plurality of autonomous mobile objects, wherein the sensing data is related to a learning target; executing, by the processor, a recognition learning process based the sensing data collected by the plurality of autonomous mobile objects; generating, by the processor, based on the recognition learning process, a dictionary for recognition of the learning target; and controlling, by the processor, presentation of a progression status related to the recognition learning process.
including video camera means · CPC title
by means of an audio-responsive input (audible safety signals B25J19/061) · CPC title
with emotions simulating means · CPC title
Home robots, i.e. small robots for domestic use · CPC title
Recognition of hand or arm movements, e.g. recognition of deaf sign language (static hand signs G06V40/113) · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.