Intelligent distribution of data for robotic and autonomous systems
US11880188B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 12, 2019 |
| Grant date | Jan 23, 2024 |
| Priority date | — |
| Expiry date | Jun 28, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/50391
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
The present disclosure relates to the intelligent distribution of data for robotic, autonomous, and similar systems. To reduce the impact of multi-agent coordination on networked systems embodiments are disclosed that include the use of action-based constraints which yield constrained-action POMDP (CA-POMDP) models, and probabilistic constraint satisfaction for the resulting infinite-horizon finite state controllers. To enable constraint analysis over an infinite horizon, an unconstrained policy is first represented as a finite state controller (FSC). A combination of a Markov chain Monte Carlo (MCMC) routine and a discrete optimization routine can be performed on the finite state controller to improve probabilistic constraint satisfaction of the finite state controller, while minimizing impact to a value function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.