Husqvarna Ab

Jonas Rangsjö

Fredrik Kallström

Marcus Liljedahl

Andreas Peterson

Patrik Jägenstedt

Stefan Grufman

Mattias Kamfors

Jonas Holgersson

Beppe Hellsin

Kent Askenmalm

Andreas Petersson

A robotic work tool system comprising at least one robotic work tool arranged to operate in a work area, the robotic work tool comprising at least one sensor and a communication interface, the robotic work tool being configured to establish a connection to a cloud service through said communication interface; receive data gathered by the at least one sensor and transmit the gathered data to the cloud service causing the cloud service to analyze the gathered data; receive operating data from the cloud service; and to operate at least one robotic work tool based on the operating data received from the cloud service.

Operation for a robotic work tool

A robotic work tool system () for defining a working area () in which at least one robotic work tool () subsequently is intended to operate. The system () comprises at least one controller () being configured to receive sensor data for pose estimation and event data relating to a plurality of events of at least one robotic work tool () moving within the working area (). The received sensor and event data are associated with each other in time. The controller () is configured to determine positions for the events based on the received sensor data associated with the respective event data and to determine features reflecting the working area () by relating positions associated with corresponding events with each other. The controller () is configured to adjust the determined positions based on the determined features by, for each feature, comparing the respective determined positions with each other; and determine, based on the adjusted positions, a map defining the working area ().

Robotic work tool system and method for defining a working area

The present disclosure relates to a self-propelled robotic tool () and a method in a self-propelled robotic tool (), being used to detecting lifting of the self-propelled robotic device from the ground. The method includes collecting () driving data () related to the driving of a wheel (), collecting () measured inertia data from an inertial measurement unit (), IMU, in the self-propelled robotic tool, determining (), using an estimation function (), a residual parameter corresponding to a differential between said measured inertia data and estimated inertia data resulting from said driving data being input to said estimation function, and determining a lifting condition based on the residual parameter.

Method for detecting lifting of a self-propelled tool from the ground

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Linköping, Sweden

Jonas Rangsjö