F Robotics Acquisitions Ltd.

Friendly Robotics Ltd.

Yahoo! Inc.

Oath Inc.

Gideon Dror

Shai Abramson

Ehud Peless

Yoelle Smadja Maarek

Dan S Pelleg

Idan Szpektor

Disclosed herein is a mechanism, which may be in a community-driven system, to assist a user, or member of the community, to articulate a request, such as a question, that is likely to receive a response, e.g., an answer to a question posed, from the user community. A machine learning approach may be used to generate a model, which model may be trained using previously-posted requests, e.g., questions, and response, e.g., answers. The generated model may be used to make a prediction, e.g., to predict a potential number of answers for a given question, which prediction may also have an accompanying confidence score. A prediction generated by the model may be presented to the user as the user is providing the input, e.g., typing a question. Such prediction may be generated for a partial question, e.g., as the question is being typed, as well as a completed question.

System and method of predicting community member responsiveness

A system and method for learning a new user's interests in the absence of historical data includes: generating a user interface on which a user interacts in a session; formulating questions such that a user response to the questions indicates a preference; presenting the questions to the user on the user interface; receiving responses from the user, the responses indicating user preferences; and populating a new user profile with the user preferences. The steps of presenting, receiving, and populating are repeated until the session terminates.

Deriving a user profile from questions

A method for automatically operating a robot, attached to a lawnmower or other unmanned machine, within an enclosed area is disclosed. The method includes the steps of: 1) providing the following elements: a proximity sensor positioned on the robot, a boundary along the perimeter of the working area and along the perimeter of each area enclosed in the working area in which the robot should not operate, the boundaries being detectable by the proximity sensor, a processing unit connected to the proximity sensor and receiving an input therefrom, a navigation unit on the robot to determine the coordinates of the robot relative to an arbitrary origin, a direction finder, and a memory to store values generated by the processing unit; and 2) causing the robot to move along each of the boundaries provided around or within the working area, to detect the boundaries and to memorize their shape, and to store in the memory values representative of the coordinates of the boundaries, thereby to generate a basic map of the working area. When the robot is to operate within the area, the method includes the steps of: (a) causing the robot to start from a starting point having known coordinates within the basic map of the working area; (b) continuously determining the coordinates of the robot by analyzing data obtained from the navigation unit and by detecting the vicinity of a boundary; and (c) correcting the actual position of the robot on the basic map by comparing the calculated and the actual coordinates of each detected boundary.

Navigation method and system for autonomous machines with markers defining the working area

A system for operating an autonomous robot for performing tasks, such as lawn mowing, includes an indicator and a robot configured for detecting the indicator and generating a map of the working area bounded by the indicator and correcting the position of the robot in accordance with the generated map of the working area.

Growing community of inventors

Tel Aviv, Israel

Gideon Dror