Abstract: A method of decelerating a vehicle upon entering a halt zone includes determining a location of a vehicle at routine intervals while the vehicle is traveling along a road; determining when the vehicle enters a halt zone; and upon determining that the vehicle has entered a halt zone, limiting a speed of the vehicle to a nominal speed. The method preferably is performed by an intelligent speed adaptor (ISA) system of a vehicle. The vehicle preferably is part of a fleet of commercial vehicles, and a fleet manager preferably is notified when a vehicle has entered a halt zone.

Abstract: A method of tracking a user position using a crowd robot, a tag device, and a robot implementing the same are disclosed, and the robot includes a controller, which cumulatively stores position information of a tag device, generates a moving route corresponding to the stored position information of the tag device, and corrects the position information of the tag device based on position estimation information of a crowd robot around the tag device sent from the tag device.

Abstract: A method and device for positively identifying that a dump event of a refuse container has occurred into a refuse hopper of a refuse vehicle are provided. When used with route software, alerts may be generated if a specific refuse container is missed or if an unexpected dump event occurs during the route.

Abstract: A surgical system includes a detector, comprising an array of pixels configured to detect light reflected by a surgical instrument and generate a first signal comprising a first dataset representative of a visible image of the surgical instrument. The surgical system also includes a processor configured to receive the first signal, generate a modified image of the surgical instrument that includes a control panel. The control panel includes one or more control elements representative of one or more operating parameters of the surgical instrument. The processor is further configured to receive an input to the control panel from a user, the input being effective to change one of the operating parameters. The processor is also configured to generate a command signal based on the input to change the one of the operating parameters.

Abstract: Disclosed herein are systems and techniques for compensating for insertion of an instrument into a working channel of another instrument in a surgical system. According to one embodiment, a method of compensation includes: detecting insertion of an insertable instrument into a working channel of a flexible instrument; detecting, based on a data signal from at least one sensor, a position change of a distal portion of the flexible instrument from an initial position: generating a control signal based on the detected position change; and adjusting a tensioning of a pull wire based on the control signal to return the distal portion to the initial position.

Abstract: A displaying method of a robot simulator for intuitively recognizing the working direction of a tool is provided. A displaying method on a robot simulator includes displaying a real image of a robot to mount a tool at an end effector of a robot arm, displaying a tool coordinate system indicating an operating direction of the tool at the end effector of the robot arm which is displayed in the displaying of the real image of the robot, displaying a virtual reality (VR) image having a three-dimension image at the end effector of the robot arm which is displayed in the displaying of the real image of the robot.

Abstract: A vehicle includes: a driver assistance system; an accelerator configured to perform acceleration of the vehicle; a braking device configured to perform deceleration of the vehicle; a velocity sensor configured to detect a current velocity of the vehicle; a driver status sensor configured to acquire a driver's behavioral data; and a controller. The controller is configured to identify a carelessness status of the driver based on the driver's behavioral data and to activate a velocity control mode when the carelessness status of the driver is detected in the activation status of the driver assistance system.

Abstract: A robot control device is configured to control a robot and includes: a machine learning (ML) model for describing ranges of environments, or in other words, situations in each of which control for a control routine (operation control) executing an operation to achieve an operation objective is achievable; an operation control selector configured to select, based on an output value from the ML model, the operation control which is appropriate for the present situation; and an operation control executor configured to execute the operation control which has been selected. The operation control is a control routine for a robot to achieve an operation objective by the robot sensing a first object with interaction with a second object.

Abstract: A driving assist device for a vehicle sets a a roadway area ahead of the vehicle, detects an avoidance target existing ahead of the vehicle, and executes collision avoidance control that avoids a collision between the vehicle and the avoidance target. The collision avoidance control is more likely to be executed when the avoidance target is within the roadway area than when the avoidance target is outside the roadway area. The driving assist device detects a roadway end object and a first lane marking of a first lane in which the vehicle exists. An imaginary position is a position apart from the detected position of the roadway end object toward the first lane by a constant distance. The driving assist device sets the imaginary position or the detected position of the the first lane marking as a boundary position of the roadway area based on a predetermined condition.

Abstract: The present disclosure relates to a method and an apparatus for controlling an electronic control suspension using a deep learning-based road surface classification model. The method for controlling an electronic control suspension in a vehicle including a camera and a GPS receiver may include collecting location information of the vehicle using the GPS receiver while driving, identifying whether there is a previously generated road surface classification model corresponding to a front obstacle when the front obstacle is detected, determining a first control value based on a first characteristic value corresponding to the road surface classification model when there is the road surface classification model as a result of the identification, controlling the electronic control suspension with the determined first control value when entering the obstacle, and collecting new sensing data through a physical sensor, and correcting the first characteristic value based on the new sensing data.

Abstract: A trajectory generation apparatus according to an embodiment includes an arithmetic unit capable of generating a positional trajectory of a movable part of a robot, in which: the arithmetic unit is further capable of generating a velocity trajectory of the movable part; and a predetermined time before switching a trajectory along which the movable part is moved from the velocity trajectory to the positional trajectory, the arithmetic unit predicts a position of the movable part at the time of the switching and generates the positional trajectory that starts from the predicted position.

Abstract: An information processing system includes a vehicle and an information processing device configured to transmit and receive information to and from the vehicle. The vehicle is configured to acquire information on an occupant in a cabin of the vehicle, and operate to affect a perception of the occupant. The information processing device is configured to store a cause of an accident caused by a passenger of the vehicle and control information for operating the operating unit to eliminate the cause of the accident, and transmit the control information to the operating unit of the vehicle when determination is made that the cause of the accident occurs based on the information on the occupant. The vehicle is configured to operate to eliminate the cause of the accident when the control information is received.

Abstract: A vehicle control method is disclosed. The vehicle control method includes: while controlling the driving of a vehicle taking control of itself, determining if there is a need to hand over the control of driving to a passenger in the vehicle; if it is determined that there is a need to hand over the control of driving to a passenger in the vehicle, selecting at least one of passengers to whom the control of driving may be handed over; determining an order of priority in handing over the control of driving by taking into consideration the at least one selected passenger's occupancy state information; handing over the control of driving to a top priority passenger according to the order of priority; and controlling the driving environment by taking into consideration the top priority passenger's occupancy state information.

Abstract: Systems, methods, and related technologies are disclosed for multi-device robot control. In one implementation, input(s) are received and provided to a personal assistant or another application or service. In response, command(s) directed to an external device are received, e.g., from the personal assistant. Based on the command(s), a robot is maneuvered in relation to a location associated with the external device. Transmission of instruction(s) from the robot to the external device is initiated.

Abstract: A method of adapting tuning parameter settings of a system (2) functionality (3) for road vehicle (1) speed adjustment control starting from initially selected settings and applying a training set of speed adjustment profiles obtained from manually negotiated road segments and road segment data for these. For each of these road segments: —a simulated speed adjustment profile is calculated using the selected settings and the road segment data; —the manual and the simulated speed adjustment profiles are compared to obtain a residual; —a norm of the residual is calculated. For all of the road segments of the training set: —a norm of the norms of the residuals is calculated; —at least one of optimization, regression analysis or machine-learning is performed to minimize the norm of the norms of the residuals by selecting different settings and iterating the above steps. Settings rendering a minimal training set norm are selected.

Abstract: A driving system for a motor vehicle includes a first driving function for automated driving with automated longitudinal and transverse guidance and a second driving function for automated driving with at least automated longitudinal guidance, or with at least automated transverse guidance. The second driving function has a lower degree of automation than the first driving function. The first driving function is available in a tolerance range. Starting from a driving state with an active second driving function and a value of the driving parameter outside the tolerance range, the driving system changes, when the second driving function is active, the value of the driving parameter in the direction of the tolerance range via automated longitudinal guidance or automated transverse guidance. The driving system then determines that the driving parameter satisfies a criterion with respect to the tolerance range.

Abstract: An apparatus for controlling remote parking in a vehicle is provided. The apparatus includes an ultrasonic sensor that measures a distance from the vehicle to an obstruction and a receiver that receives a surround view monitoring (SVM) image. A controller executes remote parking of the vehicle by selectively using the distance from the obstruction, the distance being measured by the ultrasonic sensor, and the SVM image received by the receiver.

Abstract: A method performs an at least partially automated maneuver. When an increased probability of collision of the vehicle with a vehicle in front is recognized, at least the decision to divert and/or the decision to return, i.e. the decision to return to the lane in which the vehicle was travelling before the diversion, is controlled as a function of a parameter of the traffic situation in front of the vehicle in front.

Abstract: A driving assist apparatus executes an autonomous braking control to autonomously stop a vehicle when a level of potential that the vehicle collides with an obstacle is larger than a predetermined level. The driving assist apparatus executes a stopped state keeping control to keep the vehicle stopped to prevent moving of the vehicle after the vehicle is stopped by the autonomous braking control. The driving assist apparatus performs a warning to warn a driver of the vehicle when the driver performs a mistaken pressing operation of mistakenly pressing an acceleration pedal with an intention to press a brake pedal. The driving assist apparatus changes a manner of performing the warning from a first manner to a second manner when the driving assist apparatus stops the vehicle by the autonomous braking control while the driving assist apparatus is performing the warning.

Abstract: Vehicle driving control apparatus having function for performing automated in-lane driving by maintaining a vehicle speed when no preceding vehicle is in driving lane, and maintaining an inter-vehicle distance when a preceding other vehicle exists, function for performing automated lane change when there is no other vehicle in a predetermined area of neighboring lane, a function for notifying a driver of stopping the functions and an operation takeover request when a system failure occurs, function for evacuating vehicle to road shoulder when driver cannot resume operation, wherein, when vehicle is not in first lane neighboring road shoulder at operation of evacuating function, lane change from in-lane driving maintaining set inter-vehicle distance or set vehicle speed to first lane is performed, and prior thereto, a predetermined area serving as criterion of lane change to first lane is changed to a second area smaller than area of automated lane change.