An adaptive robot systems (US Patent 7966093) can learn on-the-go and build new skills, while providing on-the-fly translations of situational requirements into adaptive behavior models and further down to service scenarios for a collaborative robot team.
The use case expands on Service-Oriented Architecture. Orchestrated services are assembled into business scenarios and applications.
The invention integrated SOA with Knowledge Engineering to allow resolving new situations via computer-human collaboration. Built-in the system knowledge domain (ontology) helps a computer be a bit smarter by asking questions to refine instructions.
This invention is improving robot-to-robot and robot-to-human conversational interface and providing on-the-fly translations of situational requirements into adaptive behavior models and further down to service scenarios for a collaborative robot teams, effectively building new robotic/computer skills.
An example of such distributed collaborative work of robots and SMEs in conversational mode is provided below with a use case related to the military field.
On the image below, a subject matter expert sends the order "Clear Mine Field" to a robot system.
One or more robots, which is specialized in the Military operations, will intercept the order and subscribe as potential participants to this request. This will start a conversation between the system and the sender of the order. This conversation will result in a formatted scenario to be executed as a set of orchestrated services. The Conversation Manager will interact with the Scenario Formatter and check with the Service Dictionary to see if a scenario has been completed and can be executed.
In the pretty common case, when the system cannot find the resolution for a new situation, the system will continue the conversation with the sender to better refine instructions. The system will scan the branches of the knowledge domain ontology to ask right questions helping to formalize each level of instructions, from scenarios to services, to the degree where they can be executed.
This is a starting point for more ambitious use cases.
Conversational Development and Manufacturing accelerates business development
Development life cycle with its multiple teams of business, development and maintenance teams will be replaced by Conversational Development and Manufacturing (CDM).
A powerful combination of human intuition and computer restlessness is expanded by the conversational approach.
CDM uses ontology to map human instructions to the knowledge tree.
CDM has access to corporate knowledge factory and also connected to related knowledge domains.
These connections allows CDM to fill in "know how" - technical details, which may include corporate policies and regulations as well as business process instructions and usually consume most of development time.
Internet Technology University (ITU) focuses on Accelerating Sharing Knowledge with Conversational Semantic Decision Support (AskCSDS AI) systems.
ITU uses AI components to engage students in group discussions and teaching.
To help teachers and subject matter experts share knowledge in a highly structured and productive manner.