Abstract: According to one embodiment, a motion trajectory boundary is obtained based on a trajectory that has been planned to drive an ADV for a next time period. A safe driving area boundary is determined for the ADV based on perception data perceiving a driving environment surrounding the ADV. The motion trajectory boundary and the safe drivable area boundary are projected onto a map such as an HD map. A relative location of the ADV within the map relative to the motion trajectory and the safe drivable area boundary is determined. A fail-safe action or a fail operational action may be performed based on the relative location of the ADV in view of the motion trajectory boundary and the safe drivable area boundary.

Abstract: A method and a device for controlling a number of robots to emergency stop are provided. The method includes arranging multiple position points in a site where robots work and position identifiers corresponding to the position points, and providing corresponding recognizers at bottoms of the robots; when fault signals reported by the robots are detected, determining, according to the fault signals, whether all the robots in the site need to be controlled to emergency stop, wherein if yes, according to current positions and moving speeds of the robots, position points in the site are allocated to the robots as respective emergency stop positions, the robots are controlled to move to the corresponding emergency stop positions, and thereafter the robots are controlled to stop movement. The device comprises a configuration module, a determination module, an allocation module and a control module.

Abstract: There is provided a method for controlling a destination of a robot. The method includes the steps of: when information on obstruction of arrival at a first destination of a robot is acquired, determining an obstruction area associated with the arrival obstruction information by clustering adjacent areas around the first destination, determining a destination candidate area around the obstruction area with reference to a size of the robot, and determining an area in the destination candidate area, which is specified on the basis of a location of the robot, as a second destination of the robot.

Abstract: A robot controller is a controller which controls, via a hand control device, a robot hand that grips an article with two or more gripping portions. The robot controller includes, a size information acquisition unit which acquires size information about the article based on an image obtained by a visual sensor for detecting the article, and a gripping adjustment unit which changes, in response to the size information, a gripping distance, which is the space between the gripping portions, in a gripping state or a gripping force of the gripping portions in the gripping state.

Abstract: An autonomous driving control apparatus installable in a vehicle includes a path determining section, an obstacle determining section that determines whether an obstacle on the planned driving path is a passage acceptable obstacle or a passage unacceptable obstacle, the passage acceptable obstacle being previously set as an obstacle that the vehicle is allowed to come into contact with while passing, the passage unacceptable obstacle being previously set as an obstacle that the vehicle is not allowed to come into contact with while passing, and a control instructing section that gives an instruction of control to a maneuver controller to perform at least one of controlling a speed of the vehicle and controlling a steering of the vehicle to control a maneuver of the vehicle. If the obstacle is determined to be the passage acceptable obstacle, the control instructing section gives an instruction of the control to pass over the obstacle.

Abstract: A robot assembly for safe operation in a manufacturing setting with humans including a sensor for detecting a human location and human movement is provided. A safety control module providing a boundary of a safety zone area that is associated with the human in a task oriented state that includes a largest possible area in which the human or an associated work object can extend when the human is standing in one location and performing the work task. The human movement and safety zone area location being used to develop a capture set area that includes at least one predictive future safety zone area location. Using the at least one predicted future safety zone area, establishing a travel path for moving the robot between locations without overlapping the capture set area.

Abstract: For control about a remote center of motion (RCM) of a surgical robotic system, possible configurations of a robotic manipulator are searched to find the configuration providing a greatest overlap of the workspace of the surgical instrument with the target anatomy. The force at the RCM may be measured, such as with one or more sensors on the cannula or in an adaptor connecting the robotic manipulator to the cannula. The measured force is used to determine a change in the RCM to minimize the force exerted on the patient at the RCM. Given this change, the configuration of the robotic manipulator may be dynamically updated. Various aspects of this RCM control may be used alone or in combination, such as to optimize the alignment of workspace to the target anatomy, to minimize force at the RCM, and/or to dynamically control the robotic manipulator configuration based on workspace alignment and force measurement.

Abstract: Systems for collision avoidance by an autonomous vehicle include a navigational controller adapted to (i) control a driving path of the autonomous vehicle, (ii) process sensor signals from a first sensor system, and (iii) determine whether an object is present in the driving path of the autonomous vehicle based on the sensor signals from the first sensor system. The systems can also include a processor, operationally independent from the navigational controller, adapted to (a) process sensor signals from a second sensor system and (b) determine whether an object is present in the driving path of the autonomous vehicle based on the sensor signals from the second sensor system.

Abstract: An information processing device includes a control unit configured to: acquire information on a destination of a user who uses a resting unit including equipment on which the user is able to sleep, information on an arrival time at the destination, and information on a place in which the user uses the resting unit; transmit a command to a traveling unit configured to be coupled to the resting unit and carry the resting unit such that the traveling unit is coupled to the resting unit and arrives at the destination at the arrival time; and transmit a command to a stimulation device configured to stimulate the user who is using the resting unit such that the stimulation device is activated before the traveling unit is coupled to the resting unit or before the traveling unit departs for the destination after being coupled to the resting unit.

Abstract: A system and method for estimating and communicating a path of travel of a reference vehicle by road side equipment (RSE) that includes establishing communication between the RSE and an on-board equipment of the reference vehicle and receiving vehicle parameters of the reference vehicle from the on-board of the reference vehicle. The system and method also include estimating the path of travel of the reference vehicle based on the vehicle parameters of the reference vehicle and environmental parameters determined by the RSE. The system and method further include establishing communication between the RSE and an on-board equipment of a target vehicle and communicating the estimated path of travel of the reference vehicle from the RSE to the target vehicle, wherein a probability of collision between the reference vehicle and the target vehicle is determined based on the estimated path of travel of the reference vehicle.

Abstract: A device can receive, from a client device, information identifying a location of the client device and determine at least one of an expected future location of the client device or the expected route of the client device based on the information identifying the location of the client device and at least one of: information identifying one or more expected possible routes e associated with the client device, or information identifying a route history associated with the client device, determine, based on the expected future location of the client device, information representing a map fragment and can determine speed limit information associated with the map fragment and, transmit, to the client device, the information representing the map fragment and the speed limit information, wherein the client device is to use the information representing the map fragment and the speed limit information to determine a speeding event associated with a vehicle.

Abstract: A vehicle controller includes a first detector that detects a traveling state of a host vehicle, a second detector that detects a traveling state of an other vehicle that travels along a main lane when the host vehicle is traveling along a merging road, a marking line recognizer that recognizes a marking line of the main lane, and a merging controller that performs merging control of the host vehicle into the main lane based on a transverse moving situation of the other vehicle detected by the second detector, wherein, when a marking line of the main lane is unable to be recognized by the marking line recognizer, the merging controller delays starting of the merging control in comparison with a case in which the marking line of the main lane is able to be recognized by the marking line recognizer.

Abstract: An apparatus for controlling driving in a vehicle is provided. The apparatus includes one or more input devices configured to receive an input from a driver of the vehicle and a control circuit electrically connected with the one or more input devices. The control circuit is configured to activate a lane change when a first input for the lane change is received via the one or more input devices, initiate a lateral movement for the lane change when a second input for the lane change is received via the one or more input devices within a first time interval after the first input, and cancel the lane change when the second input is not received within the first time interval after the first input.

Abstract: An onboard device 1 acquires, from map DB 10 including voxel data, reliability information included in the voxel data corresponding to voxels around the route when determining that the accuracy of an estimated position has decreased. Then, on the basis of the acquired reliability information, the onboard device 1 sets a voxel suitable for estimating the own vehicle position as a reference voxel Btag. Then, the onboard device 1 output, to an electronic control device of the vehicle, control information for correcting the target track of the vehicle so as for the vehicle to pass the position suitable for measuring the reference voxel Btag.

Abstract: An apparatus for controlling driving in a vehicle is provided. The apparatus includes one or more input devices configured to receive an input from a driver of the vehicle and a control circuit electrically connected with the one or more input devices. The control circuit is configured to activate a lane change when a first input for the lane change is received via the one or more input devices, initiate a lateral movement for the lane change when a second input for the lane change is received via the one or more input devices within a first time interval after the first input, and cancel the lane change when the second input is not received within the first time interval after the first input.

Abstract: A system for detecting an anomaly in an execution of a task in mixed human-robot processes. Receiving human worker (HW) signals and robot signals. A processor to extract from the HW signals, task information, measurements relating to a state of the HW, and input into a Human Performance (HP) model, to obtain a state of the HW based on previously learned boundaries of the state of the HW, the state of the HW is then inputted into a Human-Robot Interaction (HRI) model, to determine a classification of an anomaly or no anomaly. Update HRI model with robot operation signals, HW signals and classified anomaly, determine a control action of a robot interacting with the HW or a type of an anomaly alarm using the updated HRI model and classified anomaly. Output the control action of the robot to change a robot action or output the type of the anomaly alarm.

Abstract: A traveling lane recognition apparatus includes a camera and a controller. The controller recognizes a linear marking position where a linear marking exists in each of detection target images, repeatedly performs image detection processing for detecting a white line or a blank at a linear marking position in each of detection target images corresponding to captured images, in an order of capturing time points of the captured images. The controller is configured to recognize a lane in which the vehicle is traveling among the plurality of lanes on the street based on a positional relationship between a solid lane line detected by the lane line detection and the vehicle and a positional relationship between the broken lane line detected by the lane line detection and the vehicle.

Abstract: The present disclosure relates to a palletizing control device, system, method and storage medium, and relates to the technical field of logistics. A palletizing control device includes: a prestage position generation module configured to generate a prestage position of an article to be palletized by respectively shifting a placement position of the article to be palletized along a horizontal palletizing direction by a horizontal offset corresponding to the article to be palletized and along a vertical palletizing direction by a vertical offset corresponding to the article to be palletized; and a path generation module configured to generate movement path information representing a straight path from the prestage position of the article to be palletized to the placement position of the article to be palletized.

Abstract: Systems and methods for controlling autonomous vehicles are provided. In one example embodiment, a computing system can obtain data indicative of a service assignment associated with an autonomous vehicle. The service assignment is indicative of a destination location. The computing system can determine a checklist associated with the destination location. The computing system can provide, for display via a display device, data indicative of a user interface. The user interface can present the checklist associated with the destination location. The computing system can obtain data indicative of user input associated with the checklist. The computing system can determine that the checklist has been completed based at least in part on the user input associated with the checklist. The computing system can, in response to determining that the checklist has been completed, cause the autonomous vehicle to initiate a motion control to travel to the destination location.

Abstract: A vehicle control device includes: a recognizer configured to recognize a surrounding situation of a vehicle; and an action controller configured to control an action of the vehicle. The action controller is configured to specify a first vehicle in front of a region which the vehicle is scheduled to enter and a second vehicle behind the region according to inter-vehicle distances between a plurality of vehicles located in front of or on the side of the vehicle in a lane of a route changing destination recognized by the recognizer when a route of the vehicle is changed to a side. The action controller is configured to cause the vehicle to move to a vicinity of the specified first and second vehicles in a lane in which the vehicle is traveling.