A method for controlling an autonomous mobile robot for carrying out a task in a local region of an area of application of the robot. According to one embodiment, the method comprises the following steps: positioning the robot in starting position within the area of application of the robot; detecting information relating to the surroundings of the robot by means of at least one sensor; selecting a region with a determined geometric basic shape; and automatically determining, based on the detected information relating to the surroundings, at least one of the two following parameters: size and position (also including the orientation/alignment) of the selected region.

The present application discloses a method, device and system for automatic oiling of a long-distance transport vehicle. The method provided by the present application includes: obtaining, by a transport planning system at a network side, vehicle status information, transport mission information and highway port information of the vehicle before the long-distance transport vehicle starts from a highway port of departure; generating a transport plan according to the vehicle status information, the transport mission information and the highway port information, wherein the transport plan comprises at least one highway port to be stopped at, cargo quantity to be loaded at each highway port to be stopped at and oil mass to be filled at each highway port to be stopped at; and sending the transport plan to the vehicle.

Systems and methods are provided that may to cause autonomous navigation of autonomous vehicles in the case of non-standard traffic flows such as police stops, emergency vehicle passing, construction sites, vehicle collision sites, and other non-standard road conditions. An entity associated with the non-standard traffic flow (e.g., an emergency vehicle, road sign, barrier, etc.) may transmit or broadcast a control signal to be received (or otherwise detected) at one or more autonomous vehicles. Each autonomous vehicle, upon receiving the control signal, may autonomously navigate in accordance with the control signal, thus mitigating or eliminating dangers associated with non-standard traffic flows.

A system and method for enhanced velocity resolution and signal to noise ratio in optical phase-encoded range detection includes receiving an electrical signal generated by mixing a first optical signal and a second optical signal, wherein the first optical signal is generated by modulating an optical signal, wherein and the second optical signal is received in response to transmitting the first optical signal toward an object, and determining a Doppler frequency shift of the second optical signal, and generating a corrected electrical signal by adjusting the electrical signal based on the Doppler frequency shift, and determining a range to the object based on a cross correlation of the corrected electrical signal with a radio frequency (RF) signal that is associated with the first optical signal.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Described in detail herein is an automated fulfilment system including a computing system programmed to receive requests from disparate sources for physical objects disposed at one or more locations in a facility. The computing system can combine the requests, and group the physical objects in the requests based on object types or expected object locations. Autonomous robot devices can receive instructions from the computing system to retrieve a group of the physical objects and deposit the physical objects in storage containers.

A modular system for autonomous food assembly includes: a skid operable in a first configuration configured to transiently install on a vehicle and in a second configuration configured to transiently install in a kiosk; a set of food dispensing modules configured to transiently install on the skid and store and dispense food based on food orders; and a fixed infrastructure configured to distribute power from a first power source in the truck to the set of food dispensing modules in the first configuration, from a second power source in the fixed kiosk to the set of food dispensing modules in the second configuration, and to the set of food dispensing modules; a controller installed on the skid and configured to receive food orders and control the set of food dispensing modules to dispense food orders from the truck in the first configuration and from the kiosk in the second configuration.

Provided are a mobile terminal having a display, and particularly, to a mobile terminal capable of transmitting and receiving data to and from a vehicle and a system including the same. The mobile terminal includes a communication unit communicating with a vehicle having a vehicle display, and a controller receiving driving information from the vehicle using the communication unit, wherein the controller executes a certain function in response to occurrence of an event, selects any one execution screen, among a plurality of execution screens corresponding to the executed function, on the basis of the driving information, and transmits the any one execution screen to the vehicle through the communication unit so that the any one execution screen is output on the vehicle display.

This disclosure provides methods, devices and systems for a vehicle user equipment (VUE) to obtain extrinsic information about an object or location. The VUE may transmit a request for information about the object or the location to a road side unit (RSU). The RSU may receive the request and determine a set of extrinsic information for the first UE regarding the object or the location based on a set of information from one or more other UEs. The extrinsic information includes information that is not provided by the VUE. The RSU may transmit the set of extrinsic information to the VUE. The VUE may determine whether to accept a feature of the object or the location in the extrinsic information based on the set of extrinsic information and a set of intrinsic information detected by the VUE, The VUE may select an autonomous driving action based on the accepted feature.

A vehicle is provided that comprises two or more radio frequency (RF) antennas and two or more RF transceivers to communicate wirelessly sensitive information associated with a user of the vehicle (the two or more RF antennas being at different physical locations on an exterior of the vehicle). The vehicle determines which one of the two or more RF antennas is receiving a strongest signal from a common signal source, selects a first RF transceiver associated with the RF antenna with the strongest signal to send the sensitive information associated with the user to the common signal source, and sends the sensitive information associated with the user to the first RF transceiver for transmission to the common signal source.