The disclosed technology enables automated parking of an autonomous vehicle. An example method of performing automated parking for a vehicle comprises obtaining, from a plurality of global positioning system (GPS) devices located on or in an autonomous vehicle, a first set of location information that describes locations of multiple points on the autonomous vehicle, where the first set of location information are associated with a first position of the autonomous vehicle, determining, based on the first set of location information and a location of the parking area, a trajectory information that describes a trajectory for the autonomous vehicle to be driven from the first position of the autonomous vehicle to a parking area, and causing the autonomous vehicle to be driven along the trajectory to the parking area by causing operation of one or more devices located in the autonomous vehicle based on at least the trajectory information.

An autonomous running working machine that receives power wirelessly fed from a station includes a power reception coil that is provided in the station and is magnetically coupled to a power transmission coil, in which a core of a magnetic substance is inserted, and the power reception coil includes an open portion through which the core passes when the autonomous running working machine enters the station.

An example method involves detecting a sensor-testing trigger. Detecting the sensor-testing trigger may comprise determining that a vehicle is within a threshold distance to a target in an environment of the vehicle. The method also involves obtaining sensor data collected by a sensor of the vehicle after the detection of the sensor-testing trigger. The sensor data is indicative of a scan of a region of the environment that includes the target. The method also involves comparing the sensor data with previously-collected sensor data indicating detection of the target by one or more sensors during one or more previous scans of the environment. The method also involves generating performance metrics related to the sensor of the vehicle based on the comparison.

An autonomous cleaning device is provided. The autonomous cleaning device includes: a device body; and a drive module, a cleaning module and a sensing module, wherein the drive module, the cleaning module and the sensing module are detachably assembled to the device body, respectively.

A robot lawnmower includes a body and a drive system carried by the body and configured to maneuver the robot across a lawn. The robot also includes a grass cutter and a swath edge detector, both carried by the body. The swath edge detector is configured to detect a swath edge between cut and uncut grass while the drive system maneuvers the robot across the lawn while following a detected swath edge. The swath edge detector includes a calibrator that monitors uncut grass for calibration of the swath edge detector. In some examples, the calibrator comprises a second swath edge detector.

A container accessing station for accessing a storage container of an automated storage and retrieval grid. The container accessing station comprising: an access opening through which a human and/or robot may access contents of the storage container; a base opening; and a lifting device arranged to retrieve the storage container from a first level beneath the base opening and lift it up through the base opening to a second level so that the storage container may be accessed through the access opening.

The invention is also directed to a container accessing system and a method thereof.

The present invention provides a storage system (1) comprising a storage grid structure (104) and multiple container handling vehicles (200,300), the storage grid structure comprises vertical column profiles (102) defining multiple storage columns (105), in which storage containers (106) can be stored one on top of another in vertical stacks (107), and at least one transfer column (119,120), the column profiles are interconnected at their upper ends by top rails (110,111) forming a horizontal top rail grid (108) upon which the container handling vehicles (200,300) may move in two perpendicular directions, the container handling vehicles are able to retrieve storage containers (106) from, and store storage containers in, the storage columns (105), and transport the storage containers on the storage grid structure, wherein the storage grid structure (104) comprises at least one horizontal transfer section (2); and the storage system comprises multiple container transfer vehicles (6) and transfer rails (110′,111) forming a transfer rail grid (5) upon which the container transfer vehicles (6) may move in at least one horizontal direction, and the transfer section (2) is arranged at a level below the top rail grid (108) and extends from an external side (12) of the storage grid structure (104) to a position below the at least one transfer column (119,120) and comprises at least a section of the transfer rail grid (5) upon which section the container transfer vehicles (6) may pass each other and move in two perpendicular horizontal directions; and each of the container transfer vehicles comprises a container carrier (38) for carrying a storage container (106) and a wheel arrangement (32a,32b) for moving the container transfer vehicle (6) in two perpendicular directions upon the transfer rail grid (5); and wherein the at least one transfer column (119,120) extends from the top rail grid (108) to the transfer section (2), such that a storage container (106) may be transferred between the top rail grid (108) and the container carrier of one of the container transfer vehicles (6).

The technology relates to determining whether a vehicle operating in an autonomous driving mode is experiencing an anomalous condition, for instance due to a loss of tire pressure, a mechanical failure, or a shift or loss of cargo. The actual current pose of the vehicle is compared to an expected pose of the vehicle, where the expected pose is based on a model of the vehicle. If a pose discrepancy is identified, the anomalous condition is determined from information associated with the pose discrepancy. The vehicle is then able to take corrective action based on the nature of the anomalous condition. The corrective action may include making a real-time driving change, modifying a planned route, alerting a remote operations center, or communicating with one or more other vehicles.

A method of navigating a visually impaired user, a navigation system and a guiding robot used in the system. The method includes the steps of: receiving a plurality of location referencing signals from a plurality of signal sources; processing the location referencing signals to determine a current location of the user in a predetermined area; planning an optimal path for the user to travel from the current location to a destination location; providing guiding information associated with the optimal path to the user; obtaining a travel instruction from the user to travel along the optimal path; and moving a guiding robot according to the travel instruction provided by the user along the optimal path until the next travel instruction is required to further move the guiding robot.

In an installation method for laying magnetic markers (10) in a road for driving assist control on a vehicle side, a laying work vehicle (2) sequentially lays the magnetic markers (10) while moving along the road without performing a prior survey or the like of laying positions, and then by using a positioning work vehicle (3) including a magnetic sensor capable of detecting magnetism, the laid magnetic markers (10) are detected and the laying positions are identified to generate position data regarding the magnetic markers (10), thereby allowing reduction of cost of laying the magnetic markers (10).