An autonomous garden weeding robot includes a chassis, a motorized cutting subsystem, and a drive subsystem for maneuvering the chassis. A weed sensor subsystem is located on the chassis at a first elevation from the ground and a crop/obstacle sensor subsystem is located on the chassis at a second, higher elevation from the ground. The drive subsystem is controlled to maneuver the chassis about a garden. Upon detection of a weed, the motorized cutting subsystem is energized to cut the weed. The motorized cutting subsystem is de-energized after the chassis has moved a predetermined distance and/or after a predetermined period of time. Upon detection of a crop or obstacle, the drive subsystem is controlled to maneuver the chassis away from the obstacle.

According to an aspect of the present inventive concept there is provided an autonomous mobile robot comprising: a set of radar sensors, the sensors being arranged at spatially different positions on the mobile robot, the set including at least a first radar sensor having a first main detection lobe extending in front of the robot and a second radar sensor having a second main detection lobe extending in front of the robot, wherein the first radar sensor and the second radar sensor are arranged such that the first main detection lobe and the second main detection lobe intersect in front of the mobile robot.

The present disclosure relates to the field of intelligent lawn mowers and logic control technologies thereof, and discloses a path planning method for an intelligent lawn mower. The path planning method includes: starting a touch panel of the intelligent lawn mower; entering a path planning setting interface, which displays a schematic diagram of a region to be mowed, a path angle indicating image and a path angle setting image; receiving a touch input of a user with respect to the path angle setting image to set a path angle; adjusting, based on the set path angle, the path angle indicating image for display; and re-planning a path of the intelligent lawn mower based on the set path angle and a preset algorithm. The present disclosure further provides a path planning system for the intelligent lawn mower.

A bidirectional communication channel between a robotic lawnmower and a charging station for data communication between the robotic lawnmower and the charging station. The communication channel includes a first interface provided on the robotic lawnmower and a second interface provided on the charging station. The first and second interface are connected to each other through charging contacts and configured to communicate data in a Direct Current, DC-balanced way. Each interface is provided with an inductor in a charging power path between the charging station and the robotic lawnmower. Each inductor includes a high impedance for enabling a high data transmission rate for frequencies above 50 kHz.

A work evaluation system configured to effect evaluation of a grass mowing work performed by a work vehicle includes a state information acquisition section for acquiring vehicle state information indicative of a state of the work vehicle when performing the grass mowing work, a sound data acquisition section for acquiring sound data comprised of collection of sounds around the work vehicle, a foreign object amount calculation section for calculating an amount of foreign objects present in the work land which come into contact with a mowing blade in the course of the grass mowing work and an evaluation section for evaluating the grass mowing work performed in the work land, based on the vehicle state information and the foreign object amount.

A system for autonomous mower navigation includes a robotic golf greens mower, an RTK-GPS base for providing RTK-GPS correction data, a cloud based data processing service for processing geolocation data, one or more computer servers, one or more mobile devices, a data communications network for providing communications access between any of the RTK-GPS base, the mobile device, the cloud service, and the robotic greens mower. The RTK-GPS correction data is processed by the cloud service and provided to the robotics greens mower via the data communications network.

The disclosure discloses a method and device in UE and a base station for channel coding. A first node first determines a first bit block and then transmits a first radio signal, wherein bits of the first bit block are used to generate bits of a second bit block, a third bit block comprises bits of the second bit block and the first bit block, and the third bit block is used to generate the first radio signal. The first bit block, the second bit block and the third bit block comprise P1, P2 and P3 bits, respectively.

A robotic lawnmower system comprising a charging station (210) and a robotic work tool (100), the charging station comprising a signal generator (240) to which a boundary cable (250) is to be connected, the signal generator (240) being configured to transmit a signal (245) through the boundary cable (250), and the robotic working tool (100) comprising a sensor (170) configured to pick up magnetic fields generated by the signal (245) in the boundary cable (250) thereby receiving the signal (245) being transmitted and a controller (110) configured to analyse the picked up signal, wherein the signal generator (240) is further configured to: prefilter the signal through an filter model; and transmit the prefiltered signal to through the boundary cable (250) by means of a current generator.

A lawn mower, wherein the cutter system of the lawn mower needs to judge whether the start pulse and the start signal of the cutter switch are valid at the same time under the condition that the seat switch is closed, and the cutter system will be started, only the two conditions are met at the same time, thus not only improving the safety when the cutter system is started, but also the startup of the cutter system can be completed automatically, saving time and labor, and reducing the operator's operation difficulty.

A method navigates a robotic mower (2) by means of a wire (8). The robotic mower (2) comprises at least two sensors (12; 14). The method comprises detecting (S101), by means of the at least two sensors (12, 14), at least one signal from the wire (4a; 8; 10), measuring (S102) a polarity of the at least one signal of the wire (4a; 8; 10) by means of each one of the at least two sensors (12, 14), determining (S103) a direction based on the polarities measured by means of the at least two sensors (12, 14) and turning (S104) the robotic mower (2) towards the determined direction.