A robotic vehicle may include control circuitry configured to execute stored instructions to direct operation of the robotic vehicle on a defined area, and an electrical resistance sensor in communication with the control circuitry. The electrical resistance sensor may be configured to detect motion indicative of a lift event and a collision event using a single sensor.

A system for autonomous operation and management of oil and gas fields includes at least one autonomous vehicle. The system also includes a processor communicatively couplable to the plurality of autonomous vehicles and a non-transitory memory device including instructions that are executable by the processor to cause the processor to perform operations. The operations include receiving field analytics data of an oil and gas field and producing at least one hydrocarbon field model based on the field analytics data. Additionally, the operations include deploying the at least one hydrocarbon field model to a sensor trap appliance using the at least one autonomous vehicles and collecting well sensor data from the sensor trap appliance. Further, the operations include detecting an anomaly using the at least one hydrocarbon field model and the well sensor data and triggering an operational process based on detecting the anomaly.

Among other things, techniques are described for receiving, from at least one sensor of a vehicle, a sensor measurement indicative of at least one of a sound or a vibration associated with a road element; identifying the road element based on a pattern in the sensor measurement; determining, based on the road element, a vehicle behavior for the vehicle; and controlling the vehicle to operate according to vehicle behavior.

Described herein are systems, devices, and methods for validating location of a docking station for docking a mobile robot. In an example, a mobile robot system includes a docking station and a mobile cleaning robot. The mobile cleaning robot includes a drive system to move the mobile cleaning robot about an environment including a docking area within a distance of the docking station, and a controller circuit to detect, from an image of the docking area, a presence or absence of one or more obstacles in the docking area. A notification may be generated to inform a user about the detected obstacles. The mobile device may generate a recommendation to the user to clear the docking area or reposition the docking station, or suggest one or more candidate locations for placing the docking station.

Embodiments of the present disclosure provide a cleaning method, a window wiping robot, and a storage medium. According to the embodiments of the present disclosure, when a window wiping task needs to be performed, the window wiping robot firstly spins to detect a boundary of a glass window to be cleaned. If the boundary of the glass window to be cleaned is detected during spinning, the window wiping robot performs the window wiping task directly along the boundary. The cleaning mode may save the boundary detection time and help to improve the cleaning efficiency when starting to perform the window wiping task without detecting the boundary up, down, left, and right.

Implementations are directed to assigning corresponding semantic identifiers to a plurality of rows of an agricultural field, generating a local mapping of the agricultural field that includes the plurality of rows of the agricultural field, and subsequently utilizing the local mapping in performance of one or more agricultural operations. In some implementations, the local mapping can be generated based on overhead vision data that captures at least a portion of the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the portion of the agricultural field captured in the overhead vision data. In other implementations, the local mapping can be generated based on driving data generated during an episode of locomotion of a vehicle through the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the vehicle traversing through the agricultural field.

A navigation control system for an autonomous vehicle comprises a transmitter and an autonomous vehicle. The transmitter comprises an emitter for emitting at least one signal, a power source for powering the emitter, a device for capturing wireless energy to charge the power source, and a printed circuit board for converting the captured wireless energy to a form for charging the power source. The autonomous vehicle operates within a working area and comprises a receiver for detecting the at least one signal emitted by the emitter, and a processor for determining a relative location of the autonomous vehicle within the working area based on the signal emitted by the emitter.

The present disclosure provides a robot cleaner comprising: a cleaner body including a control unit for controlling autonomous travelling; a sensing unit arranged to be inclined to the side surfaces and the upper surface of an upper corner portion of the cleaner body and photographing both the side direction and the upper direction of the cleaner body; and a bumper arranged to cover a first half area of the cleaner body and configured, at the time of coming into contact with an obstacle, to be pressed and absorb impact, wherein the sensing unit is arranged behind the bumper.

An apparatus such as a robot capable of performing goal oriented tasks may include one or more touch sensors to receive touch perception feedback on the location of objects and structures within an environment. A fusion engine may be configured to combine touch perception data with other types of sensor data such as data received from an image or distance sensor. The apparatus may combine distance sensor data with touch sensor data using inference models such as Bayesian inference. The touch sensor may be mounted onto an adjustable arm of a robot. The apparatus may use the data it has received from both a touch sensor and distance sensor to build a map of its environment and perform goal oriented tasks such as cleaning or moving objects.

A combine harvester comprising a controller, at least one first sensor adapted to measure a first parameter related to soil deformation, and at least one second sensor adapted to measure a second parameter related to wheel slip. The first sensor is adapted to provide a first output to the controller. The second sensor is adapted to provide a second output to the controller. The controller is configured to determine a ground bearing capacity based on a combination of the first output and the second output.