Abstract: Systems and methods for managing conversations between a robot computing device and a user are disclosed. Exemplary implementations may: initiate a first-time user experience sequence with the user; teach the user the robot computing capabilities and/or characteristics; initiate, utilizing a dialog manager, a conversation with the user; receive, one or more command files from the user via one or more microphones; and generate conversation response files and communicating the generated conversation files to the dialog manager in response to the one or more received user global command files to initiate an initial conversation exchange.

Abstract: Systems and methods for creating a view of an environment are disclosed. Exemplary implementations may: receive parameters and measurements from at least two of one or more microphones, one or more imaging devices, a radar sensor, a lidar sensor, and/or one or more infrared imaging devices located in a computing device; analyze the parameters and measurements received from the multimodal input; generate a world map of the environment around the computing device; and repeat the receiving of parameters and measurements from the input devices and the analyzing steps on a periodic basis to maintain a persistent world map of the environment.

Abstract: Systems and methods for authoring and modifying presentation conversation files are disclosed. Exemplary implementations may: receive, at a renderer module, voice files, visual effect files, facial expression files, and/or mobility files; analyze, by the language processor module, the voice files, the visual effect files, the facial expression files, and/or mobility files follow guidelines of a multimodal authoring system; generate, by the renderer module, one or more presentation conversation files based at least in part on the received voice files, visual effect files, facial expression files, and/or mobility files; test, at an automatic testing system, the one or more presentation conversation files to verify correct operation of a computing device that receives the one or more presentation conversation files as an input; and identify, by a multimodal review module, changes to be made to the voice input files, the visual effect files, the facial expression files, and/or the mobility files.

Abstract: Systems and methods for human-machine interaction using a conversation system.

Abstract: Systems and methods for human-machine interaction. An adaptive behavioral control system of a human-machine interaction system controls an interaction sub-system to perform a plurality of actions for a first action type in accordance with a computer-behavioral policy, each action being a different alternative action for the action type. The adaptive behavioral control system detects a human reaction of an interaction participant to the performance of each action of the first action type from data received from a human reaction detection sub-system. The adaptive behavioral control system stores information indicating each detected human reaction in association with information identifying the associated action. In a case where stored information indicating detected human reactions for the first action type satisfy an update condition, the adaptive behavioral control system updates the computer-behavioral policy for the first action type.

Abstract: Systems and methods for human-machine interaction. An adaptive behavioral control system of a human-machine interaction system controls an interaction sub-system to perform a plurality of actions for a first action type in accordance with a computer-behavioral policy, each action being a different alternative action for the action type. The adaptive behavioral control system detects a human reaction of an interaction participant to the performance of each action of the first action type from data received from a human reaction detection sub-system. The adaptive behavioral control system stores information indicating each detected human reaction in association with information identifying the associated action. In a case where stored information indicating detected human reactions for the first action type satisfy an update condition, the adaptive behavioral control system updates the computer-behavioral policy for the first action type.

Abstract: Systems and methods for human-machine interaction. An adaptive behavioral control system of a human-machine interaction system controls an interaction sub-system to perform a plurality of actions for a first action type in accordance with a computer-behavioral policy, each action being a different alternative action for the action type. The adaptive behavioral control system detects a human reaction of an interaction participant to the performance of each action of the first action type from data received from a human reaction detection sub-system. The adaptive behavioral control system stores information indicating each detected human reaction in association with information identifying the associated action. In a case where stored information indicating detected human reactions for the first action type satisfy an update condition, the adaptive behavioral control system updates the computer-behavioral policy for the first action type.