Abstract: A computer implemented method for determining optimal values for operational parameters for a model predictive controller for controlling a vehicle, can receive from a data store or a graphical user interface, ranges for one or more external parameters. The computer implemented method can determine optimum values for external parameters of the vehicle by simulating a vehicle operation across the ranges of the one or more operational parameters by solving a vehicle control problem and determining an output of the vehicle control problem based on a result for the simulated vehicle operation. A vehicle can include a processing component configured to adjust a control input for an actuator of the vehicle according to a control algorithm and based on the optimum values of the vehicle parameter as determined by the computer implemented method.

Abstract: A predictive system and process that predicts safety system activation in industrial environments when collaborative robots (COBOTs), automated guidance vehicles (AGVs), and other robots (individual or collectively “robots”) are interacting (i) between one another or (ii) between a robot and human. As provided herein, the predictive system is not meant to substitute traditional safety systems, but rather to detect and classify robot-to-robot and robot-to-human interactions and potential interactions thereof so as to limit or avoid those interactions altogether, thereby increasing safety and efficiency of the robots.

Abstract: An apparatus comprising an arm control path, a deploy control path and a communication module. The arm control path may be configured to trigger an arm signal. The deploy control path may be configured to trigger a deploy signal. The communication module may be configured to communicate a remote signal to/from an end device, generate a bypass signal in response to the remote signal and generate the remote signal in response to detecting the arm signal. An activation signal for an actuator may be generated in response to the arm signal and the deploy signal. The arm signal and the deploy signal may be generated independently. The communication module may enable the remote signal to activate the end device. The bypass signal may be compatible with the arm control path and ensure an independent and parallel path for the arm control path to generate the arm signal.

Abstract: An autonomous vehicle includes processor circuitry to control a lateral position of the autonomous vehicle during autonomous driving at least based on a default lateral position and a user interface arranged to receive an input indicative of an off-set of the lateral position from a user of the autonomous driving vehicle, wherein the processor circuitry is arranged to receive, from the user interface, information regarding the off-set of the lateral position of the autonomous driving vehicle during driving in the lateral position, calculate a maximum right and a maximum left off-set of the lateral position, calculate a dynamic off-set value based on the received off-set and the maximum right and the maximum left off-set, adjust the lateral position based on the off-set information, and control the lateral position at least based on the dynamic off-set value and the default lateral position of the autonomous driving vehicle.

Abstract: Disclosed are solutions for an autonomous vehicle to real-time detect and determine dynamic and/or obscured obstacles to support navigation and services to within a desired proximity of said obstacles. Certain such implementations are specifically directed to autonomous mowers, for example, capable of real-time object detection to determine location and orientation of solar panels in a solar farm, for example, and based on the location and orientation of such solar panels further determine the location of their corresponding posts that may be otherwise obstructed from direct detection by the autonomous mower's other sensing systems possibly due to vegetation growth around the posts or other reasons.

Abstract: Provided is a method, computer program product, and system for automatically assigning robotic devices to users based on need using predictive analytics. A processor may monitor activities performed by one or more users. The processor may determine, based on the monitoring, a set of activities that require assistance from a robotic device when being performed by the one or more users. The processor may match the set of activities to a set of capabilities related to a plurality of robotic devices. The processor may identify, based on the matching, a first robotic device that is capable of assisting the one or more users in performing a first activity of the set of activities. The processor may deploy the first robotic device to assist the one or more users in performing the first activity.

Abstract: A delivery system includes an autonomously-moving-type delivery vehicle configured to deliver an article to a delivery destination thereof, and a transportation vehicle configured to carry and transport the delivery vehicle. A control unit configured to control an operation of the delivery vehicle acquires information about an acceleration of the transportation vehicle from the transportation vehicle, and controls the operation of the delivery vehicle based on the information about the acceleration so that a displacement that is predicted to occur in the delivery vehicle due to the acceleration of the transportation vehicle is reduced.

Abstract: A vehicle control device has a processor that is configured to determine the level of active operation by the driver, to determine the relationship between the speed of the vehicle and a predetermined reference speed, and to generate a first driving plan whereby a first deceleration is used to decelerate the vehicle without activating the brake light, when it has been determined that the level of active operation by the driver is lower than the predetermined reference level and the speed of the vehicle is faster than the reference speed, and to generate a second driving plan whereby a second deceleration that is greater than the first deceleration is used to decelerate the vehicle when it has been determined that the level of active operation by the driver is lower than the predetermined reference level and the speed of the vehicle is equal to or below the reference speed.

Abstract: Systems and methods for predicting an optimal use level of a driver assist system are provided. The system may collect historical driver behavior and road condition data, and train an optimization prediction model using the historical data, e.g., via machine learning or artificial intelligence. Moreover, the system may collect real-time driver behavior and road condition data, and predict an optimal use level of the driver assist system based on the real-time data using the trained optimization prediction model. The system may then send feedback to the driver assist system when the optimal use level falls outside a predetermined threshold, such that the driver assist system may be unavailable or have reduced functionality until the optimal use level improves.

Abstract: A vehicle control device includes a driving controller controls one of or both steering and acceleration/deceleration of the vehicle, and a mode determinator determines any of a plurality of driving modes including a first driving mode and a second driving mode as a driving mode of the vehicle, in which tasks imposed on a driver in the second driving mode are less significant than in the first driving mode and one of or both steering and acceleration/deceleration of the vehicle are controlled by the driving controller, the driving controller controls the vehicle in the second driving mode, and the driving mode is changed to the first driving mode when an abnormality occurs in a combination switch, combination switch related equipment which is connected between the driving controller and the combination switch via a communication line, or communication which is performed by the combination switch and the driving controller.

Abstract: The embodiments relate to a robot and a server communicating with the robot, the robot being driven by using at least one among a driving wheel, a propeller, and a manipulator moving at least one joint.

Abstract: A steering assistance method based on a driver assistance system, for a transportation vehicle with a steering system with steering assistance for assisting a driver during the steering of the transportation vehicle by the steering system, in which a driving situation of the transportation vehicle is detected; acting upon the driving behavior of the transportation vehicle according to the driving situation, the supporting driver assistance system defining a nominal value for at least one regulating variable of the steering system and conditionally requesting same from the steering system by a driver assistance interface; and generating a corrective action by a monitoring function downstream of the driver assistance interface and upstream of the request to the steering system, in response to the nominal value not meeting a pre-defined permissible criterion. A steering assistance based on a driver assistance system and a transportation vehicle.

Abstract: In one example, a method of operating a plurality of aerial vehicles in an environment includes receiving, at a first command module of a first aerial vehicle navigating along a first flight path, sensor data from one or more sensors on board the first aerial vehicle. The sensor data reflects one or more characteristics of the environment. The method further includes determining, via the first command module, a change from a predetermined formation to a different formation for a second aerial vehicle based at least in part on the sensor data, where the predetermined formation and the different formation are relative to the first aerial vehicle. The method also including generating, via the first command module, control signals reflecting the change from the predetermined formation to the different formation and sending the control signals from the first aerial vehicle to the second aerial vehicle.

Abstract: Provided are systems and techniques for a medical procedure. For example, the system may include one or more robotic arms, an imaging device, a master controller, a viewer configured to render one or more digital images based on image data from the imaging device, at least one computer-readable memory having stored thereon executable instructions, and one or more processors. The one or more processors may be configured to execute the instructions to cause the system to: in a first mode of operation, cause movement of at least one of the robotic arms; and in a second mode of operation, cause the viewer to display an interactive menu and a graphical overlay on the one or more digital images.

Abstract: The disclosure discloses a garage mode control unit, system and method capable of preventing vehicle miss-acceleration in narrow site. The control method comprises the steps that vehicle environment information is received; whether a vehicle is in the narrow site or not is judged according to the vehicle environment information; and the vehicle is controlled according to a garage mode when the condition that the vehicle is in the narrow site is judged.

Abstract: An in-vehicle environment setting system 10 includes: a receiving unit 210 that receives, from a vehicle 50, setting information regarding a setting for an in-vehicle environment of the vehicle 50 and environment information regarding an outdoor environment of the vehicle 50 in a manner associated with an identity of a user 52 who boards the vehicle 50; a learning unit 220 that learns a preference of the user 52 related to the setting for the in-vehicle environment based on the setting information and the environment information; a generation unit 230 that generates recommended setting information regarding a recommended setting for the in-vehicle environment preferred by the user 52 based on a learning result of the preference; and a transmission unit 240 that transmits the recommended setting information to a vehicle 60 which is different from the vehicle 50.

Abstract: Systems and methods for driver presence and position detection are disclosed herein. A method can include determining a presence and a position of a driver in a sensing zone of a vehicle using a sensor platform integrated into the vehicle, determining when the position of the driver indicates that the driver is not in a fully-seated position relative to a driver's seat of the vehicle, and selectively adjusting a vehicle parameter of the vehicle based on the driver not being in a fully-seated position.

Abstract: A system includes: a mobile robot comprising a sensor, the robot further comprising a computer, the robot operating in an environment; a server operably connected to the robot via a communication system, the server configured to manage the robot; a controller operably connected to the robot, the controller operably connected to the server, the controller configured to control the robot; and an object of interest marked with a marker at one or more of an approximate height and an approximate field of view of the sensor, the sensor generating data describing the object of interest, the computer configured to identify one or more of the object of interest and the location using one or more of a shape of the object of interest and an intensity of data describing the object of interest.

Abstract: The invention relates to a method for controlling a vehicle (1) comprising an electric powertrain, an energy storage system (ESS), regenerative braking functionality and cruise control functionality, wherein the cruise control functionality is configured to maintain a set cruise control speed of the vehicle during downhill travel by applying the regenerative braking functionality, the method comprising: obtaining (S11) a tolerance limit for an allowed increase in energy consumption caused by non-use of regenerative braking during downhill travel; obtaining (S12) information relating to an upcoming downhill road segment (DRS); based on the information relating to the upcoming downhill road segment (DRS), setting (S13) an allowed overspeed, caused by non-use or reduced use of the regenerative braking functionality, wherein the allowed overspeed exceeds the set cruise control speed for the upcoming downhill road segment (DRS) and is set based on the tolerance limit; and in the upcoming downhill road segment (

Abstract: A method of controlling a vehicle includes determining a first projected path of the vehicle, receiving sensor data corresponding to a steering input, determining a first blended vehicle path resulting from a first blended steering command based on the first projected path and the sensor data, and determining when the first blended vehicle path satisfies a first criteria. When the controller determines that the first blended vehicle path satisfies the first criteria, the controller relinquishes control of the vehicle to an operator and when the controller determines that the first blended vehicle path does not satisfy the first criteria, the controller generates a second blended vehicle path resulting from a second blended steering command based on the first projected path and the sensor data.