A method for assisting a maneuvering procedure of a motor vehicle in a parking garage is disclosed, wherein the motor vehicle moves within the parking garage during the maneuvering procedure from a drop-off site in the parking garage to a predetermined position in the parking garage, wherein the maneuvering procedure of the motor vehicle is monitored by at least one sensor of the motor vehicle, comprising the steps: establishing a communication link between a controller of the motor vehicle and a vehicle-external unit of the parking garage; transmitting climate-specific measured data that are acquired by at least one measuring point in the parking garage from the at least one measuring point to the vehicle-external unit, and calibrating the at least one sensor of the motor vehicle depending on the climate-specific measured data.

Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Vehicles and methods described herein include a vehicle that operates with a rider according to an operating parameter. The vehicle includes: a physiological monitoring sensor configured to measure a physiological parameter of the rider; an experience hybrid neural network trained on outcomes related to a rider in-vehicle experience associated with the physiological parameter to determine an emotional state of the rider; an augmented reality system configured to present augmented reality content to the rider of the vehicle based, at least in part, on the operating parameter; and an optimization hybrid neural network that identifies a variation in the operating parameter to change the emotional state of the rider and that generates a command to vary the operating parameter and the augmented reality content according to the variation.

An item repositioning method includes, in response to a request for an item, moving a vehicle along a first route to a location of the item, loading the item in the vehicle using a lift assist device mounted to the vehicle, moving the vehicle along a second route to transport the item to a desired location, and at the desired location, unloading the item from the vehicle using the lift assist device.

A mobile robot may include a traveling unit configured to move a main body; a memory configured to store trajectory information of a moving path corresponding to the movement of the main body; a communication unit configured to communicate with another mobile robot that emits a signal; and a controller configured to recognize the location of the another mobile robot based on the signal, and control the another mobile robot to follow a moving path corresponding to the stored trajectory information based on the recognized location. In addition, the controller may control the moving of the another mobile robot to remove at least part of the stored trajectory information, and allow the another mobile robot to follow a moving path corresponding to the remaining trajectory information in response to whether the moving path corresponding to next trajectory information to be followed by the another mobile robot satisfies a specified condition.

A mobile robot may include a traveling unit configured to move a main body; a memory configured to store trajectory information of a moving path corresponding to the movement of the main body; a communication unit configured to communicate with another mobile robot that emits a signal; and a controller configured to recognize the location of the another mobile robot based on the signal, and control the another mobile robot to follow a moving path corresponding to the stored trajectory information based on the recognized location. In addition, the controller may control the moving of the another mobile robot to remove at least part of the stored trajectory information, and allow the another mobile robot to follow a moving path corresponding to the remaining trajectory information in response to whether the moving path corresponding to next trajectory information to be followed by the another mobile robot satisfies a specified condition.

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.

The invention relates to a method, to a device, and to a computer-readable storage medium with instructions for monitoring the movement of a transportation device. In one embodiment, first, information about the trajectory of the transportation device is received by a mobile device. The trajectory is then displayed on a display unit of the mobile device in the form of an augmented reality representation. In response thereto, an input of the user of the mobile device for influencing the trajectory is detected. Finally, information is transmitted to the transportation device on the basis of the input of the user.

A waste collection bag may be used by an autonomous cleaning robot (e.g., an autonomous vacuum) to store waste during a plurality of cleaning processes. The waste bag comprises a waste bag, a waste collection sachet, and an absorbent. The waste bag has a first side and a second side, where the first side has an opening for waste to enter, and is composed of filtering material. The waste collection enclosed sachet has a first side and a second side that connect to form a cavity. The waste collection enclosed sachet is tethered to the second side of the waste bag and is composed of dissolvable paper. The absorbent may absorb liquid waste and is located inside the cavity of the waste collection enclosed sachet.

Various embodiments of a system and method for generating a delivery plan for multi-tier delivery schemes are described. Embodiments may include generating a delivery plan for a region including multiple delivery locations. The delivery plan may specify at least one agent delivery route within the region. The delivery route may include at least one shipment acquisition location coinciding with an expected travel route of a vehicle conveying shipments. The agent delivery route may be traversed by an agent that is to deliver a specific group of shipments acquired from the vehicle at the shipment acquisition location. Embodiments may include selecting the specific group of shipments for delivery on the delivery route. The selecting is based on a time constraint for delivering the group of shipments to respective delivery locations along the delivery route, and historical delivery time information for previous deliveries to the delivery locations along the delivery route.