Abstract: A multi-robot system includes a first a mobile cleaning robot that has a local storage device to store a persistent map of an environment, at least one sensor to sense the environment, and a control module. The control module is configured to: control the mobile cleaning robot to navigate in the environment using the persistent map and sensing data provided by the at least one sensor, share the persistent map with a second mobile cleaning robot, and coordinate with the second mobile cleaning robot to perform cleaning tasks.

Abstract: Utilizing at least one existing policy (e.g. a manually engineered policy) for a robotic task, in generating reinforcement learning (RL) data that can be used in training an RL policy for an instance of RL of the robotic task. The existing policy can be one that, standing alone, will not generate data that is compatible with the instance of RL for the robotic task. In contrast, the generated RL data is compatible with RL for the robotic task at least by virtue of it including state data that is in a state space of the RL for the robotic task, and including actions that are in the action space of the RL for the robotic task. The generated RL data can be used in at least some of the initial training for the RL policy using reinforcement learning.

Abstract: The present disclosure relates to an apparatus and a method for controlling a vehicle, and more particularly to a vehicle control apparatus having a redundant architecture. A vehicle control apparatus according to one embodiment of the present disclosure includes: a receiver, configured to receive sensing information from a vehicle sensor; a first electronic controller, configured to generate a first vehicle control command based on the received sensing information; a monitor, configured to monitor whether the first electronic controller is out of order; and a second electronic controller, configured to generate a second vehicle control command based on the received sensing information if the first electronic controller is out of order.

Abstract: A method for providing instructions for controlling vehicle, the method comprising: predicting a near-future driving path for the vehicle using sensor data received from environmental sensors of the vehicle. Retrieving at least one acceptable spatial deviation value indicative of the acceptable deviation from the predicted driving path. Determining a limit velocity value or a longitudinal deceleration value based on predetermined relations between spatial deviations from the near-future driving path and vehicle motion parameters and corresponding error values. The limit velocity value and the longitudinal deceleration value are determined with the constraint that the acceptable spatial deviation is not violated along the predicted driving path. Providing an instruction signal comprising an instruction for the vehicle to travel below the limit velocity value, or comprising an instruction to decelerate according to the longitudinal deceleration value in the event of a safe stop procedure.

Abstract: A vehicle control apparatus, which controls a vehicle having a plurality of driving modes, includes a travel control section that performs travel control of the vehicle based on vicinity information; a limit value determining section that determines a deceleration limit value used when the travel control is performed, according to the driving mode; and a braking control section that performs braking control based on the vicinity information, such that the vehicle decelerates with a deceleration that does not exceed the determined deceleration limit value; wherein the limit value determining section sets the deceleration limit value to a first limit value when the vehicle is driven in a first driving mode, and sets the deceleration limit value to a second limit value higher than the first limit value, when the vehicle is driven in a second driving mode that has a higher degree of automation than the first driving mode.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein that mitigate hard-braking events. An example apparatus includes a world generator to generate a deep learning model to identify and categorize an object in a proximity of a vehicle, a data analyzer to determine a danger level associated with the object, the danger level indicative of a likelihood of a collision between the vehicle and the object, a vehicle response determiner to determine, based on the danger level, a response of the vehicle to avoid a collision with the object, and an instruction generator to transmit instructions to a steering system or a braking system of the vehicle based on the determined vehicle response.

Abstract: The present invention provides a vehicle control apparatus, a vehicle control method, and a vehicle control system capable of optimizing balance between a target tire lateral force and a target tire longitudinal force. A vehicle control apparatus outputs an instruction for achieving an optimal slip ratio corresponding to a minimum value of a sum of a first difference and a second difference to an actuator regarding braking/driving of a vehicle. The first difference is a difference between a tire lateral force and a target tire lateral force with respect to an arbitrary slip ratio in a correlative relationship between a slip ratio and the tire lateral force of a tire of a wheel portion. The second difference is a difference between a tire longitudinal force and a target tire longitudinal force with respect to the arbitrary slip ratio in a correlative relationship between the slip ratio and the tire longitudinal force.

Abstract: Embodiments of systems and methods for automated real-time routing within a fleet of geographically distributed drivers are disclosed. Embodiments may operate to dispatch orders and determine routing in real-time in a geographic area through application of rule-based filtering of drivers and selective application of optimal or non-optimal routing solutions utilizing the real-time locations of drivers, real-time conditions within the geographic area and the locations for the set of orders being routed by the system.

Abstract: A method may include distributing target torque to target engine torque of an engine and target motor torque of a motor according to a predetermined control logic according to driver demand torque, comparing torques which determines whether actual torques of the engine and the motor are smaller than the target engine torque and the target motor torque, comparing whether a time period during which a state where a state where the torque of the engine or the motor is insufficient is maintained is a predetermined reference time or more, determining that any one of the engine and the motor is failed, when the time during which a state where the state where the torque of the engine or the motor is insufficient is maintained is the reference time or more, and controlling limp-home which limits the target engine torque of the engine, the target motor torque of the motor, and the regenerative braking amount of the motor.

Abstract: There are provided an outputter provided in a vehicle and configured to output information, a controller configured to execute driving support for the vehicle, and an output controller configured to provide a notification for requesting an occupant of the vehicle to perform a predetermined action when the driving support is being executed by the controller, cause a form of the notification to be changed so that the notification is emphasized in accordance with a passage of time from a start of the notification, and cause the outputter to output the notification.

Abstract: A system comprising an unmanned aerial vehicle (UAV) configured to transition from a terminal homing mode to a target search mode, responsive to an uplink signal and/or an autonomous determination of scene change.

Abstract: Devices, systems, and methods for a vehicular safety system in autonomous vehicles are described. An example method for safely controlling a vehicle includes selecting, based on a first control command from a first vehicle control unit, an operating mode of the vehicle, and transmitting, based on the selecting, the operating mode to an autonomous driving system, wherein the first control command is generated based on input from a first plurality of sensors, and wherein the operating mode corresponds to one of (a) a default operating mode, (b) a minimal risk condition mode of a first type that configures the vehicle to pull over to a nearest pre-designated safety location, (c) a minimal risk condition mode of a second type that configures the vehicle to immediately stop in a current lane, or (d) a minimal risk condition mode of a third type that configures the vehicle to come to a gentle stop.

Abstract: An apparatus for controlling backward driving of a vehicle including: a driving trajectory generation unit configured to generate a driving trajectory for backward driving of an ego vehicle on a target path, using sensing information acquired while the ego vehicle drives forward along the target path; and a control unit configured to control the backward driving of the ego vehicle on the target path according to the driving trajectory generated by the driving trajectory generation unit, correct the driving trajectory using driving information of another vehicle, which has driven backward on the target path before the ego vehicle, when a change on the target path is sensed in comparison to during the forward driving of the ego vehicle during the process of controlling the backward driving of the ego vehicle, and control the backward driving of the ego vehicle according to the corrected driving trajectory.

Abstract: The present disclosure provides a data acquisition method, apparatus, device and computer readable storage medium. According to the embodiments of the present disclosure, determination is made as to whether a preset stable driving condition is met based on acquired driving scene data of the driving scene where the vehicle is currently located, and acquired driving behavior data; if the preset stable driving condition is met, the driving scene data and the driving behavior data are acquired at a frequency lower than a preset sampling frequency. As a result, it is possible to reduce data redundancy in similar scenes and similar diving modes, reduce the amount of data, reduce occupation of the storage resources and transmission resources and facilitate subsequent analysis, and it is possible to implement the dynamic acquisition of driving scene data and driving behavior data by scenes and modes.

Abstract: A method is described for adapting a position of a seat device of a passenger of a vehicle during and/or prior to a switchover of the vehicle from an automated driving mode to a manual driving mode, the method having at least a step of providing, in which an adjustment signal is provided to an interface to a seat device of the vehicle using a transition signal and a position signal, and the adjustment signal causes a change in the position of the seat device from a comfort position to an upright position, and the transition signal indicates or represents an upcoming transition from an automated driving mode to a manual driving mode of the vehicle, and the position signal indicates or represents the position of the seat device of the passenger, the provision of the adjustment signal taking place when the position signal indicates or represents the comfort position, and/or the provision not taking place when the position signal indicates or represents the upright position; and/or providing a blocking signal in

Abstract: A slope estimation device estimates a slope of a vehicle traveling road, and includes an input section that acquires a detected value of an acceleration sensor for detecting acceleration in a front-back direction of the vehicle, a centripetal force detecting section that detects centripetal force acting on the acceleration sensor due to a turning motion of the vehicle, and a slope computing section that computes the slope of the vehicle traveling road based on the detected value of the acceleration sensor. When the vehicle is in the turning motion, the slope computing section computes the slope of the traveling road by determining a component of the centripetal force superimposed on the detected value of the acceleration sensor based on a turning center position of the vehicle, a gravity center position of the vehicle, and an installation position of acceleration sensor, and subtracting the component of the centripetal force from the detected value of the acceleration sensor.

Abstract: A method for determining a friction coefficient for a contact between a tire of a vehicle and a roadway. The method includes processing sensor signals in order to generate processed sensor signals. The sensor signals represent state data that are read in at least by at least one detection device and that are correlatable with the friction coefficient. The processed sensor signals represent at least one preliminary friction coefficient. The method also includes ascertaining the friction coefficient using the processed sensor signals and a regression model.

Abstract: Systems and methods are provided herein for operating a vehicle in a vehicle yaw mode. In response to initiating vehicle yaw mode, the system engages an open-loop mode, that provides open-loop forward torque to the outer wheels of the vehicle and open-loop backward torque to the inner wheels of the vehicle until a sufficient number of wheels are slipping. In response to determining that a sufficient number of wheels are slipping, engaging a closed-loop mode. While operating in the closed-loop mode, one or both of the wheel rotation and vehicle yaw rate are monitored to adjust the torques provided to the wheels of the vehicle to control the vehicle yaw rate.

Abstract: A method for determining a wheel radius of a motor vehicle, including calculating a yaw rate of the motor vehicle by means of a wheel speed of at least one wheel and a predefined wheel radius. The calculated yaw rate is compared with a measured yaw rate. The wheel speed is adapted. The calculation of the yaw rate is input, of the at least one wheel by means of a correction factor, so that the calculated yaw rate is equal to the measured yaw rate. The correction factor and the predefined wheel radius or the wheel speed is multiplied. The calculation of the yaw rate is input, for the determination of a corrected wheel radius or of a corrected wheel speed.

Abstract: Upon a request for switching from a first travel mode of traveling with a clutch disengaged and operation of an engine stopped to a second travel mode of traveling with the clutch engaged and the engine operating, a controller for a hybrid vehicle restarts the engine in the following manner. That is, the controller restarts the engine in a first start mode of starting combustion in the engine with the clutch non-fully engaged when a rotation speed of a motor is greater than a determination value and restarts the engine in a second start mode of starting combustion in the engine with the clutch fully engaged when the rotation speed of the motor is less than or equal to the determination value.