http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11389957-B2
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_fd37276b8bd3adc92dd388854c3baf52 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B2219-40499 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B13-0265 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-01 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B25J9-163 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-006 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B13-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/B25J9-16 |
| filingDate | 2019-09-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-07-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ac65505c0e7cfff6d686dc43d5307447 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ff6556ade4b86b9be95a845fc909e627 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2507d400b84ffdbe542be308b808660e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1bff3848ed311fbbaf5b7e67484f5692 |
| publicationDate | 2022-07-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | US-11389957-B2 |
| titleOfInvention | System and design of derivative-free model learning for robotic systems |
| abstract | A manipulator learning-control apparatus for controlling a manipulating system that includes an interface configured to receive manipulator state signals of the manipulating system and object state signals with respect to an object to be manipulated by the manipulating system in a workspace, wherein the object state signals are detected by at least one object detector, an output interface configured to transmit initial and updated policy programs to the manipulating system, a memory to store computer-executable programs including a data preprocess program, object state history data, manipulator state history data, a Derivative-Free Semi-parametric Gaussian Process (DF-SPGP) kernel learning program, a Derivative-Free Semi-parametric Gaussian Process (DF-SPGP) model learning program, an update-policy program and an initial policy program, and a processor, in connection with the memory, configured to transmit the initial policy program to the manipulating system for initiating a learning process that operates the manipulator system manipulating the object while a preset period of time. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2020074237-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11514268-B2 |
| priorityDate | 2019-09-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCQ07295 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID451703590 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID198177 |
Total number of triples: 26.