Abstract: A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

Abstract: A vehicle is provided to avoid a collision with a target object located in front of the vehicle by predicting an expected traveling path of the target object. The vehicle also predicts the possibility of a collision with the target object.

Abstract: Aspects of the subject technology relate to systems and methods for adaptively controlling acceleration of a vehicle employing one pedal driving functionality. A full release of an accelerator pedal of a vehicle is detected while the vehicle travels at a first non-zero speed according to a default accelerator pedal map. When the full release of the accelerator pedal is detected, the vehicle decelerates, and the first accelerator pedal map is switched to an adaptive accelerator pedal map. While the vehicle decelerates, the adaptive accelerator pedal map is adjusted according to reduction of a speed of the vehicle. When a depression of the accelerator pedal to reaccelerate the vehicle pedal is detected while the vehicle decelerates and before the speed of the vehicle reaches zero, the vehicle is controlled to reaccelerate the vehicle according to the adjusted adaptive accelerator pedal map without further decelerating the vehicle.

Abstract: A platooning controller includes a processor configured to share information about a first platooning vehicle of a group of platooning vehicles with other platooning vehicles of the group of platooning vehicles when a brake of the first platooning vehicle breaks down during platooning and to perform braking control, and a storage configured to store data and an algorithm for platooning and braking control by the processor. The processor is configured to rearrange the group of platooning vehicles depending on a location where the first platooning vehicle is arranged in a platoon line, to decelerate the first platooning vehicle and a second platooning vehicle in front of the first platooning vehicle, and to center the first platooning vehicle and the second platooning vehicle to perform the braking control.

Abstract: A method of operating an autonomous vehicle includes detecting, based on an input received from a sensor of an autonomous vehicle that is being navigated by an on-board computer system, an occurrence of a driving event, making a determination by the on-board computer system, upon the detecting the occurrence of the driving event, whether or how to alter the path planned by the on-board computer system according to a set of rules, and performing further navigation of the autonomous vehicle based on the determination until the driving event is resolved. The driving event may include a presence of an object in a shoulder area of the road. The driving event may include accumulation of more than a certain number of vehicles behind the autonomous vehicle. The driving event may include a slow vehicle ahead of the autonomous vehicle. The driving event may include a do-not-change-lane zone is within a threshold.

Abstract: An assistance device for driving in a traffic lane for a motor vehicle includes a module for determining at least one input variable chosen from among variables related to the vehicle and variables related to the traffic lane, a module for producing a correction instruction according to the input variable, and an assistance module capable of implementing a driving assistance action according to the correction instruction. The input variable includes a lateral position of the vehicle in the traffic lane and a lateral deflection speed of the vehicle.

Abstract: Techniques for detecting an object in an environment, determining a probability that the object is a region of particulate matter, and controlling a vehicle based on the probability. The region particulate matter may include steam (e.g., emitted from a man-hole cover, a dryer exhaust port, etc.), exhaust from a vehicle (e.g., car, truck, motorcycle, etc.), dust, environmental gases (e.g., resulting from sublimation, fog, evaporation, etc.), or the like. Based on the associated probability that the object is a region of particulate matter, a vehicle computing system may substantially maintain a vehicle trajectory, modify a trajectory of the vehicle to ensure the vehicle does not impact the object, stop the vehicle, or otherwise control the vehicle to ensure that the vehicle continues to progress in a safe manner. The vehicle controller may continually adjust the trajectory based on additionally acquired sensor data and associated region probabilities.

Abstract: In an apparatus for controlling driving of a vehicle, an input interface is configured to receive a reassurance indicator entered by a passenger of the vehicle. The reassurance indicator represents a preference of the passenger for security. A communication unit is configured to communicate with a plurality of roadside devices located in respective potentially risky areas where the vehicle may collide with a moving object. Each roadside device is configured to evaluate the collision possibility with the moving object. A vehicle controller is configured to, if receiving an evaluation result from the roadside device located in the potentially risky area forward of the own vehicle showing that the own vehicle is unlikely to collide with the moving object in the potentially risky area forward of the vehicle, perform avoidance control to control driving of the vehicle according to the reassurance indicator.

Abstract: A method is described for collision-free motion planning of a first manipulator with closed kinematics. The method includes defining a dynamic optimization problem, solving the optimization problem using a numerical approach, and determining a first movement path for the first manipulator based on the solution of the optimization problem. The dynamic optimization problem includes a cost function that weights states and control variables of the first manipulator, a dynamic that defines states and control variables of the first manipulator as a function of time, and at least one inequality constraint for a distance to collisions. Furthermore, the optimization problem includes at least one equality constraint for the closed kinematics.

Abstract: A method for simulating a braking operation of a robot wherein a dynamic model of the robot is used to determine, for a given initial state of the robot, a final state range with a plurality of possible final states of the robot as a result of the simulated braking operation.

Abstract: A vehicle control device includes a recognizer configured to recognize a surrounding environment of a vehicle including a moving object present around the vehicle and a controller configured to control at least one of a speed and steering of the vehicle. The controller restricts access to the moving object when the moving object is rotating around a vertical axis at a speed greater than or equal to a threshold value so that a front surface of the moving object recognized by the recognizer faces a position interfering with a position in a traveling direction of the vehicle as compared with when the moving object is not rotating.

Abstract: Disclosed are a method of improving fuel efficiency of a fuel cell electric vehicle, and an apparatus and a system therefor. The method includes collecting navigation information and vehicle speed information, calculating a coasting line when a specified event point is detected based on the navigation information, determining whether deceleration is necessary by comparing a current traveling speed with a coasting line speed corresponding to a current location, and changing a criterion for determining whether to enter a fuel cell stop (FC STOP) state when the deceleration is necessary as a determination result.

Abstract: Provided are methods for controlling ESA system of a vehicle and an ESA system. The method includes: generating a trajectory to avoid an obstacle in front of the vehicle; obtaining a target yaw rate and yaw moment according to the trajectory; allocating the target yaw moment to one or more chassis actuators; controlling the one or more chassis actuators according to allocated yaw moments. The cooperation of actuators is implemented for more safe evasion.

Abstract: A drive force control apparatus includes a drive force control section that has a steady drive force, a filtered drive force obtained by performing a filtering process on the steady drive force, and an internal drive force, which is calculated from a traction requested drive force, input thereto, and sets a target drive force based on the steady drive force, the filtered drive force, and the internal drive force. The drive force control section implements post-operation processing after control for causing the internal drive force to be the target drive force ends. In the post-operation processing, a new internal drive force, which is calculated based on a large-small relationship among the steady drive force, the filtered drive force, and the previously calculated internal drive force, is set as the target drive force.

Abstract: Implementations of the disclosed subject matter provide a device of a mobile robot may include a motor to drive a drive system to move the mobile robot in an area, and a light source to output ultraviolet light. The device may include at least one first sensor to determine at least one of an orientation of the mobile robot, a location of the mobile robot, and/or when the light source is within a predetermined distance of an object in the area. The device may include a controller, communicatively coupled to the drive system, the light source, and the at least one first sensor to control the drive system so as to stop or move the mobile robot before the light source is within the predetermined distance of the object based on at least a signal received from the at least one first sensor.

Abstract: The present disclosure provides a method and a device for vehicle parking control. The method includes following steps performed according to a predetermined time period until the vehicle stops at an end point: determining (101) a target position and a target speed when the vehicle arrives at the target position based on a current speed of the vehicle and a distance between a current position and the end point, the target position being on a road where the vehicle is located and in front of the vehicle; determining (102) a deceleration motion mode for the vehicle based on the current speed of the vehicle and the target speed; and performing (103) braking control for the vehicle in accordance with a vehicle braking strategy corresponding to the deceleration motion mode. The method can solve the problem in the related art associated with inaccurate vehicle parking control and uncomfortable experience.

Abstract: A method and system for autonomous picking or put-away of items, totes, or cases within a logistics facility. The system includes a remote server and at least one manipulation robot. The system may further include at least one transport robot. The remote server is configured to communicate with the various robots to send and receive picking data, and the various robots are configured to autonomously navigate and position themselves within the logistics facility.

Abstract: A vehicle control system includes a controller circuit in communication with a steering sensor and one or more perception sensors. The steering sensor is configured to detect a steering torque of a steering wheel of a host vehicle. The one or more perception sensors are configured to detect an environment proximate the host vehicle. The controller circuit is configured to determine when an operator of the host vehicle requests a take-over from fully automated control of the host vehicle based on the steering sensor. The controller circuit classifies the take-over request based on the steering sensor.

Abstract: In one embodiment, a vehicle merge control system generates sensor data that indicate a detected vehicle in an environment of the ego vehicle, identifies a conflict based at least in part on the sensor data indicating that the detected vehicle and the ego vehicle are traveling: 1) in adjacent lanes that will merge into a single lane, and 2) at respective speeds that will result in the detected vehicle entering within a threshold range of the ego vehicle, determines, upon identification of the conflict, merge position assignments for the ego vehicle and the detected vehicle based at least in part on a game theory cost function applied to game theory actions that result in the merge position assignments exclusively being either a lead vehicle or a follower vehicle, and outputs an acceleration rate to achieve the merge position assignment for the ego vehicle.

Abstract: A control device for a vehicle includes an upper limit value setting unit configured to set an upper limit value of an acceleration or deceleration of the vehicle, and a vehicle controller configured to control the vehicle such that the acceleration or deceleration does not exceed the upper limit value. The upper limit value setting unit is configured to change the upper limit value according to at least one predetermined condition.