Husqvarna Ab

Anders Mattsson

Patrik Jägenstedt

Stefan Grufman

Mikael Willgert

Björn Mannefred

Martin Larsén

Magnus Öhrlund

Peter Reigo

Lars Dernebo

Åke Cederborn

Mikael Alexiusson

Peter Lameli

Christoph Schiedt

Sven Wietelmann

A method for mapping and planning a parcel or garden may include receiving information indicative of position data of a robotic vehicle transiting a parcel and corresponding image data captured by the robotic vehicle at one or more locations on the parcel. The method may further include generating a base-map of the parcel based on the information received and providing a graphical representation of the parcel based on the base-map. The method may further include enabling an operator to generate a modified-map.

Garden mapping and planning via robotic vehicle

A method for employing learnable boundary positions for bounding operation of a robotic vehicle may include detecting temporary indicia of a boundary on a parcel via at least one sensor of a robotic vehicle, generating coordinate or location based boundary informationbased on the temporary indicia, and operating the robotic vehicle within the boundary based on the generated coordinate or location based boundary information.

Robotic vehicle learning site boundary

A system may include sensor equipment, a local yard maintenance manager and a remote yard maintenance manager. The sensor equipment includes one or more sensors disposed on a parcel of land. The local yard maintenance manager may be disposed proximate to the parcel and configured to interface with the sensor equipment to monitor growing conditions on the parcel. The remote yard maintenance manager may be disposed remotely with respect to the parcel and configured to interface with the sensor equipment.

Distributed intelligent grounds management system

A robotic vehicle may be configured to incorporate multiple sensors to make the robotic vehicle capable of detecting grass by measuring edge data and/or frequency data. In this regard, in some cases, the robotic vehicle may include an onboard positioning module, a detection module, and a mapping module that may work together to give the robotic vehicle a comprehensive understanding of its current location and of the features or objects located in its environment. Moreover, the robotic vehicle may include sensors that enable the modules to collect and process data that can be used to identify grass on a parcel on which the robotic vehicle operates.

Robotic vehicle grass structure detection

A system may include sensor equipment, task performance equipment, a yard maintenance manager and a robot. The sensor equipment may include one or more sensors disposed on a parcel of land. The task performance equipment may be configured to perform a task on the parcel. The task may be associated with generating a result that is enabled to be monitored via the sensor equipment. The yard maintenance manager may be configured to interface with the sensor equipment and the task performance equipment to compare measured conditions with desirable conditions to direct operation of the task performance equipment. The robot may be configured to work the parcel and perform at least one of acting as one of the one or more sensors, acting as a device of the task performance equipment, or interacting with the sensor equipment or the task performance equipment.

Intelligent grounds management system integrating robotic rover

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Ulricehamn, Sweden

Anders Mattsson