Husqvarna Ab

Jonas Holgersson

Mattias Kamfors

Patrik Jägenstedt

Fredrik Kallström

Magnus Öhrlund

Stefan Grufman

Marcus Liljedahl

Björn Mannefred

Martin Elonsson

Jonathan Björn

Stefan Bergström

Jon Funk

Stefan Strandberg

Andreas Källming

Tommy Glimberg

Beppe Hellsin

Mario D'Ovidio

Magnus Bergenholm

Johan Rogö

Tom Söberg

Jonas Rangsjö

Fredrik Klackensjö

Nick Schomer

Kent Askenmalm

Johan Öster

Andreas Peterson

Erik Starhagen

Claes Johannesson

Marcus Stjärnås

Hugo Johansson

Martin Joelsson

Markus Liljedahl

Jonatan BJÖRN

Eric Starhagen

Stefan BERSTRÖM

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 () comprising a robotic work tool (), the robotic work tool () being configured to determine () that the robotic work tool () has entered a state of limited movement; determine () an exit path; and exit () the state of limited movement by navigating the exit path.

Exit path determination for a robotic work tool

A robotic lawnmower system comprising a charging station () and a robotic lawnmower (), the charging station comprising a signal generator () to which a navigation signal cable () is to be connected, the signal generator () being configured to transmit a signal () through the navigation signal cable (), and the robotic lawnmower () comprising: a propulsion system (); a sensor () configured to sense field values of magnetic fields generated by the signal () in the navigation signal cable (); and a controller () configured to determine that the robotic lawnmower () is in a docking position; record the field value(s) of the sensed signal; control the propulsion system () to reverse out of said docking position; and to control the propulsion system () to enter into said docking position by sensing a current field value; comparing the current field value to the stored field value(s); and determining how to navigate the robotic lawnmower () based on the comparison and navigating accordingly.

System and method for navigating a robotic lawnmower into a docketing position

The present disclosure relates to a self-propelled robotic work tool (), e.g. an automatic robotic lawn mower, and a corresponding method. The robotic tool comprises an inertia measurement unit (IMU) which generally obtains () measured IMU parameters regarding the robotic working tool's movement. A prediction algorithm () predicts () required motor currents for driving the robotic work tool's wheels () based on the measured IMU parameters. The predicted motor current is compared () to the actual current used and the difference constitutes an error (), which is used in a collision detection unit (). If the collision detection unit () senses that the actually used motor current is much higher than the predicted current, a collision may be indicated (). The prediction algorithm is repeatedly updated based on the error () by incrementing or decrementing an error category counter (error cat,) if the error () is above or bellow a first or second threshold (), and increasing or decreasing a prediction algorithm setting (), e.g. a motor current offset term i offset—if the error category counter (error cat,) is above or bellow a third or fourth threshold (). This allows the prediction algorithm to adapt to circumstances where the robotic tool is used. For instance, if a lawn mower operates in thick grass, the prediction algorithm can be adapted not to detect false collisions due to increased motor current values.

Method for updating a collision detection algorithm in a self-propelled robotic tool

The present disclosure related to a robotic working toolcomprising a controllerand at least a first and at least a second magnetic sensor arranged to sense a magnetic signal. The controlleris configured to detect a first magnetic signal; determine a signal strength of the detected first magnetic signal; determine if the signal strength of the detected magnetic signal is above or below a threshold value, and if the signal strength is above the threshold value, accept signal detection input for the first magnetic signal from a first set of sensors, and if the signal strength is below the threshold value, accept signal detection input for the first magnetic signal from a second set of sensors, wherein the second set of sensors is a subset of the first set. The disclosure also relates to a method for use in the robotic working tool and a computer readable medium for carrying computer instructions that when loaded into a controller of a robotic working tool, cause the robotic working tool to operate according to a method.

Robotic working tool and work area boundary sensing method

A robotic work tool () comprising a controller () and at least one magnetic sensor () arranged to sense a magnetic boundary signal emitted by a boundary wire, and a first magnetic guide signal emitted by a first guide wire (), wherein the controller () is configured to: detect an at least partial crossing of the first guide wire () from a first work zone to a second work zone, determine an operating status and if the operating status indicates that a crossing is allowed, allow the robotic work tool to cross the first guide wire () to the second work zone, and if not, control the operation of the robotic work tool so that the first guide wire () is not crossed.

Work area marking for a robotic working tool

A robotic vehicle may be configured to incorporate multiple sensors to make the robotic vehicle capable of collecting, feeding, and uploading weather data into an aggregation agent to form a geospatial map or weather service. In this regard, in some cases, the robotic vehicle may include an onboard vehicle positioning module and sensor network to give the robotic vehicle a collective understanding of its environment, and enable it to autonomously collect and upload weather data to an aggregation agent for corresponding locations.

Weather collection and aggregation via robotic vehicle

A robotic work tool system () comprising further comprising a charging station () and a robotic work tool (), the robotic work tool system () being configured to determine a change in weather and to take preservation action. The robotic work tool may detect the change in weather by detecting an electrical charge buildup in the boundary wire. The robotic work tool may take the preservative action by the robotic work tool () distancing itself from the charging station ().

Operation of a robotic work tool by adapting the operation to weather conditions

A method for determining and mapping a parcel of land may include receiving positioning-information indicative of position data of a robotic vehicle transiting a parcel at one or more locations on the parcel and receiving workload-information indicative of workload data of a robotic vehicle transiting the parcel at one or more locations on the parcel. The method may further include generating a virtual map of the parcel based on the positioning-information and the workload-information received.

Parcel mapping via electrical resistance detection of a robotic vehicle

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Huskvarna, Sweden

Jonas Holgersson