This article provides a comprehensive introduction into the field of robotic mapping, with a focus on indoor mapping. It describes and compares various probabilistic techniques, as they are presently being applied to a vast array of mobile robot mapping problems. The history of robotic mapping is also detailed, along with an extensive list of open research problems.

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Robotic mapping: a survey

Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

A mobile terminal including a body; a touchscreen provided to a front and extending to side of the body and configured to display content; and a controller configured to detect one side of the body comes into contact with one side of an external terminal, display a first area on the touchscreen corresponding to a contact area of the body and the external terminal and a second area including the content, receive an input of moving the content displayed in the second area to the first area, display the content in the first area, and share the content in the first area with the external terminal.

Mobile terminal and method for controlling the same

Learning metric-topological maps for indoor mobile robot navigation

A method and apparatus are provided for building an intelligent automated assistant. Embodiments of the present invention rely on the concept of “active ontologies” (e.g., execution environments constructed in an ontology-like manner) to build and run applications for use by intelligent automated assistants. In one specific embodiment, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontology includes at least one active processing element that models a domain. At least one of the remote services is then registered for use in the domain.

Method and apparatus for building an intelligent automated assistant

Methods, systems, and computer readable storage medium related to operating an intelligent digital assistant are disclosed. A text string is obtained from a speech input received from a user. Information is derived from a communication event that occurred at the electronic device prior to receipt of the speech input. The text string is interpreted to derive a plurality of candidate interpretations of user intent. One of the candidate user intents is selected based on the information relating to the communication event.

Intent deduction based on previous user interactions with voice assistant

Prioritizing selection criteria by automated assistant

Methods, systems, and computer readable storage medium related to operating an intelligent automated assistant are disclosed. A user request is received through a conversation interface of the intelligent automated assistant, the user request including at least a speech input received from a user. One or more candidate domains relevant to the user request are identified from a plurality of predefined domains, where each predefined domain presents a respective area of service offered by the intelligent automated assistant, and the identifying is based on respective degrees of match between words derived from the user request and words representing vocabulary and entities associated with each predefined domain. Feedback is provided to the user through the conversation interface of the intelligent automated assistant, where the feedback presents a paraphrase of the user request and elicits additional input from the user to specify one or more parameters associated with a particular candidate domain.

Didier Rene Guzzoni

Papers

Intelligent Automated Assistant

Method and apparatus for building an intelligent automated assistant

Intent deduction based on previous user interactions with voice assistant

Prioritizing selection criteria by automated assistant

Active input elicitation by intelligent automated assistant