Bear Robotics, Inc.

Neato Robotics, Inc.

Henry A Leinhos

Fangwei Li

Sanghun Jung

Bryant Leo Pong

Joe Tate

Sarath Kumar Suvarna

Bryant Pong

Pawel Orzechowski

Ina Liu

A method for controlling movement of a robot includes inputting a first linear velocity parameter and a first angular velocity parameter, which are specified as the robot moves, into a first limit model for limiting a centripetal acceleration to correct the first linear velocity parameter and the first angular velocity parameter, thereby calculating a second linear velocity parameter and a second angular velocity parameter, inputting the second linear velocity parameter and the second angular velocity parameter into at least one of a second limit model for limiting a linear velocity and a third limit model for limiting an angular velocity to correct the second linear velocity parameter and the second angular velocity parameter, thereby calculating a third linear velocity parameter and a third angular velocity parameter, and controlling the movement of the robot based on the third linear velocity parameter and the third angular velocity parameter.

Method, system, and non-transitory computer-readable recording medium for controlling movement of a robot

A method for controlling a robot is provided. The method includes the steps of: determining a first comparison axis with reference to a first target area specified by a camera module of a robot, and determining a second comparison axis with reference to a second target area specified by a scanner module of the robot and associated with the first target area; and correcting a reference coordinate system associated with the camera module with reference to a relationship between the first comparison axis and the second comparison axis.

Method, system, and non-transitory computer-readable recording medium for controlling a robot

There is provided a method for controlling a destination of a robot. The method includes the steps of: when information on obstruction of arrival at a first destination of a robot is acquired, determining an obstruction area associated with the arrival obstruction information by clustering adjacent areas around the first destination, determining a destination candidate area around the obstruction area with reference to a size of the robot, and determining an area in the destination candidate area, which is specified on the basis of a location of the robot, as a second destination of the robot.

Method, system, and non-transitory computer-readable recording medium for controlling a destination of a robot

In one embodiment, a cleaning robot stores multiple floorplans. The robot automatically determines which floorplan it is in by localizing and trying to match its detected environment to the stored map. The best fit is the map for the current floor. If there is no match above a confidence threshold, the robot assumes it is a new floor or the floorplan has changed (e.g., furniture has moved), and the robot initiates a discovery mode to map the floorplan and add it to the robot's memory.

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Palo Alto, CA, United States of America

Henry A Leinhos