A robot apparatus for establishing a charging connection between a charging device and an energy storage unit of a motor vehicle, having a movement unit, by which the robot apparatus is movable in relation to the charging device and the motor vehicle, having a receptacle device, by which a charging element of the charging device can be received, can be coupled to a coupling element of the energy storage unit and subsequently released, and having a detection unit, by which a position of the coupling element on the motor vehicle is ascertainable, wherein the robot apparatus is connectable by a support device to the motor vehicle, whereby a force is transmittable from the robot apparatus to the motor vehicle.

Disclosed herein are a method of localization by synchronizing multi sensors and a robot implementing the same. The robot according to an embodiment includes a controller that, when a first sensor acquires first type information, generates first type odometry information using the first type information, that, at a time point when the first type odometry information is generated, acquires second type information by controlling a second sensor and then generates second type odometry information using the second type information, and that the robot by combining the first type odometry information and the second type odometry information.

A parcel delivery system is provided for use in complex having a plurality of tenant units each having a tenant address, wherein the complex further comprising an intake facility, a delivery facility, and parcel storage boxes, and wherein the intake facility comprises a scanning station and a first automated ground delivery vehicle in communication with the scanning station and wherein the delivery facility comprises a second automated ground delivery vehicle configured to travel between the delivery station and tenant units. In accordance with embodiments, a computer system interfaces with the parcel delivery system to notify tenants when they have a parcel and to further notify tenants when delivery of the parcel has been completed.

In various examples, a sequential deep neural network (DNN) may be trained using ground truth data generated by correlating (e.g., by cross-sensor fusion) sensor data with image data representative of a sequences of images. In deployment, the sequential DNN may leverage the sensor correlation to compute various predictions using image data alone. The predictions may include velocities, in world space, of objects in fields of view of an ego-vehicle, current and future locations of the objects in image space, and/or a time-to-collision (TTC) between the objects and the ego-vehicle. These predictions may be used as part of a perception system for understanding and reacting to a current physical environment of the ego-vehicle.

In one embodiment, when an autonomous driving vehicle (ADV) is parked, the ADV can determine, based on criteria, whether to operate in an open-space mode or an on-lane mode. The criteria can include whether the ADV is within a threshold distance and threshold heading relative to a vehicle lane. If the criteria are not satisfied, then the ADV can enter the open-space mode. While in the open-space mode, the ADV can maneuver it is within the threshold distance and the threshold heading relative to the vehicle lane. In response to the criteria being satisfied, the ADV can enter and operate in the on-lane mode for the ADV to resume along the vehicle lane.

At least a portion of a first target design topography is positioned below an actual topography. At least a portion of a second target design topography is positioned below the actual topography and is inclined with respect to the first target design topography. A controller generates a command signal to operate a work implement according to the first target design topography in an area where the first target design topography is positioned above the second target design topography. The controller generates a command signal to operate the work implement according to the second target design topography in an area where the second target design topography is positioned above the first target design topography.

A position and attitude estimation apparatus includes sub-sensor input accepters, a speed sensor state determiner, a scale estimator, and a position and attitude information corrector. The sub-sensor input accepter accepts an output of a sub-sensor which acquires information regarding a movement amount based on information other than an output value of a speed sensor. The speed sensor state determiner determines whether the output value of the speed sensor is reliable. The scale estimator estimates a size of the movement amount based on at least one of the output value of the speed sensor and an output value of the sub-sensor. The position and attitude information corrector corrects position and attitude information based on the size of the movement amount estimated by the scale estimator.

An example operation includes one or more of receiving, by a server, data related to an environment associated with a target transport, analyzing, by the server, the data to determine if at least one adverse condition related to the environment exists, and responsive to existence of the at least one adverse condition, sending, by the server, a recommendation related to operation of the target transport in a safe mode to overcome the at least one adverse condition to the target transport.

A set of input conditions is obtained. A plurality of potential decisions is obtained based at least in part on the set of input conditions. A rule-based system is used to process the plurality of potential decisions and obtain a set of one or more updated potential decisions, wherein: the rule-based system specifies a plurality of rules; a rule specifies a rule condition and a corresponding action, wherein when the rule condition is met, the corresponding action is to be performed; and using the rule-based system to process the plurality of potential decisions includes: for a selected potential decision in the plurality of potential decisions, determining whether the rule condition is met for a selected rule among the plurality of rules, wherein the selected rule condition is dependent on, at least in part, the selected potential decision; and in response to the selected rule condition being met, performing the corresponding action. The set of one or more updated potential decisions to be executed is output.

A parking control system for an autonomous vehicle is provided. The parking control system includes a parking control device configured to monitor a location and movement of an autonomous vehicle which enters a parking lot, based on a 3D electronic map, calculate a driving trajectory to a parking space selected by a driver of the autonomous vehicle based on sensor data collected from various sensor in the parking lot and vehicle information received from the autonomous vehicle, and provide information about the calculated driving trajectory to the autonomous vehicle. The autonomous vehicle travels to the parking space based on the driving trajectory received from the parking control device and parks in the parking space.