105 results about "Robot perception" patented technology

A robot includes a hazard sensor, a locomotor, and a system controller. The robot senses a hazard intensity at a location of the robot, moves to a new location in response to the hazard intensity, and autonomously repeats the sensing and moving to determine multiple hazard levels at multiple locations. The robot may also include a communicator to communicate the multiple hazard levels to a remote controller. The remote controller includes a communicator for sending user commands to the robot and receiving the hazard levels from the robot. A graphical user interface displays an environment map of the environment proximate the robot and a scale for indicating a hazard intensity. A hazard indicator corresponds to a robot position in the environment map and graphically indicates the hazard intensity at the robot position relative to the scale.

Within a moving robot of narrow footprint, having quick traveling performance on a plane-surface, as well as, anti-tumbling function, and further being suitable for operations under coexistence with a human being, being able to travel coping with traveling situations on a level difference, etc.: in front and rear of main driving wheels 2 and 3, each being controlled through the inverted pendulum control, are disposed supporting legs 4 and 5, tips of which can be lifted up and down, wherein the tips of the supporting legs 4 and 5 are positioned to keep a predetermined distance between a traveling surface, when running on the inverted two-wheels travel, and the supporting legs 4 and 5 are fixed or either one in the fall-down direction is thrust out into the fall-down direction, so as to protect it from falling down. Further, upon the basis of detection information of floor-surface distance sensors 4e and 5e and side-surface distance sensor 4f, 4g, 5f and 5g, which are provided at the tips of the supporting legs 4 and 5, the robot senses an existence of a level difference and / or an inclined surface, so as to let the supporting legs to escape from the level difference and / or the inclined surface, and holds the position of gravity center thereof, stably, through other one of the supporting legs, being landed on the ground, and the main driving wheels 2 and 3; thereby enabling to travel over the level difference and the inclines surface.

There is disclosed a computer-implemented method of handling an audio dialog between a robot and a human user. The method includes: during the audio dialog, receiving audio data and converting the audio data into text data; in response to the text data, determining a dialog topic, the dialog topic comprising a dialog content and a dialog voice skin, and the dialog content comprising a plurality of sentences; determining a sentence to be rendered in audio by the robot; and receiving a modification request of the determined dialog sentence. Described developments for example comprise different regulation schemes (e.g. open-loop or closed-loop), the use of moderation rules (centralized or distributed) and the use of priority levels and / or parameters depending on the environment perceived by the robot.

A system, apparatus and application for providing robots with the ability to intelligently respond to perceived situations are described. A knowledge database is assembled automatically, based on distributed knowledge capture. The knowledge base embodies the “common sense,” that is, the consensus, of the subjects who contribute the knowledge. Systems are provided to automatically preprocess, or “clean” the information to make it more useful. The knowledge thus refined is utilized to construct a multidimensional semantic network, or MSN. The MSN provides a compact and efficient semantic representation suitable for extraction of knowledge for inference purposes and serves as the basis for task and response selection. When the robot perceives a situation that warrants a response, an appropriate subset of the MSN is extracted into a Bayes network. The resultant network is refined, and used to derive a set of response probabilities, which the robot uses to formulate a response.