Abstract: An information processing method includes the following executed by a computer: acquiring a first image and object data of an object appearing in the first image, extracting a portion of the first image that corresponds to a difference between the object data and an object detection result obtained by inputting the first image to a trained model, the trained model receiving an image as input to output an object detection result, acquiring a second image that includes a portion corresponding to the same object data as object data corresponding to the extracted portion of the first image, reflecting an image based on the extracted portion of the first image in the portion of the acquired second image that corresponds to the same object data, and generating training data for the trained model.

Abstract: A control device includes: an external environment recognition unit configured to acquire recognition data of an external environment; an automatic driving control unit configured to perform automatic driving control; a storage unit configured to store target position information; and a target position detection unit configured to detect a target position. When the target position is detected, the automatic driving control unit executes first determination processing of determining whether a self-position of the moving body with respect to the target position is estimated, executes, when the self-position is estimated, second determination processing of determining whether a target not included in the target position information is present around the target position, issues, when the target is present, a notification inquiring of a user of the moving body necessity of executing the automatic driving control, and executes, when the target is not present, the automatic driving control.

Abstract: An interference determination device includes a registration unit that registers a start point and an end point of a motion of a robot, an interference determination unit that determines whether the robot interferes with an obstacle when the robot moves along a path from the start point to the end point, and an interference determination condition registration unit that registers an interference determination condition including at least one of an interference allowable distance that allows the interference with the obstacle, a positional error that is included in a relative position between the robot and the obstacle when the relative position is grasped, and a synchronization time error when the obstacle is a movable object that moves along a predetermined path in synchronization with the motion of the robot. The interference determination unit determines whether the robot interferes with the obstacle in consideration of the interference determination condition.

Abstract: There are no drugs or food medicines that can prevent or ameliorate, among side effects caused by drugs, particularly peripheral neuropathy that is caused by anticancer drugs such as oxaliplatin. An agent for preventing or ameliorating peripheral neuropathy including at least one selected from xylitol, L-talitol, and D-threitol as an active ingredient can ameliorate tingling limbs, limb pain, decreased deep tendon reflexes, muscle weakness, allodynia, hyperalgesia, hand fine motor skill disability, gait disturbance, stumbling, falling, flexion impairment (difficulty or inability to sit on one's knees, cross-legged, sideways, in a chair, etc.), limb paralysis, or the like, induced by drugs such as anticancer drugs or diabetes.

Abstract: A moving body control device includes: an external environment recognition unit configured to acquire recognition data of an external environment including a surrounding area of a moving body; an acquisition unit configured to acquire, based on the recognition data, other moving body information indicating a feature of another moving body in the surrounding area; a determination unit configured to refer to a storage unit that stores parking position data in which a parking position and a feature of a moving body parked at the parking position are associated with each other and determine whether there is a possibility that the other moving body is to be parked at a surrounding parking position; and a control unit configured to perform predetermined control to prevent the moving body from inhibiting parking toward the surrounding parking position based on a determination that there is the possibility.

Abstract: A moving body control device includes: an external environment recognition unit configured to acquire recognition data of an external environment; a detection unit configured to detect, based on the recognition data, a following moving body; a search unit configured to search, based on a current position of the moving body and passage information indicating a passage through which the moving body is movable, for a route from the current position to a predetermined parking position; and a control unit configured to move the moving body to the parking position along the found route. When the following moving body is detected while the moving body is moving to the parking position along a first route, the search unit searches for a second route different from the first route, and, when the second route is found, the control unit moves the moving body to the parking position along the second route.

Abstract: A control device includes an external environment recognizing unit that recognizes a surrounding situation of a moving body based on external environment recognition data acquired from an external environment sensor, and a prediction unit that, based on the surrounding situation, performs prediction regarding rush-out of a moving obstacle to a first lane in which the moving body is positioned. The external environment recognizing unit recognizes, as the surrounding situation, behavior of opposite-direction moving bodies moving in a second lane adjacent to the first lane in a direction opposite to a moving direction of the moving body, the opposite-direction moving bodies including a first another moving body positioned in the moving direction of the moving body and a second another moving body moving behind the first another moving body. The prediction unit predicts a possibility of rush-out of the moving obstacle based on a behavior of the second another moving body.

Abstract: A lamination device is disposed downstream of a conveying device configured to convey a plurality of electrode bodies, and laminates the plurality of electrode bodies. The lamination device includes: a mounting plate on which the plurality of electrode bodies are laminated, the mounting plate being inclined with respect to the electrode bodies being conveyed by the conveying device; a first wall erected on the mounting plate and perpendicular to a conveying direction; and a drop prevention portion provided on the first wall or on a wall different from the first wall, the drop prevention portion preventing the plurality of electrode bodies from dropping from the mounting plate.

Abstract: A vehicle control apparatus includes a microprocessor configured to perform: recognizing a surrounding situation of a subject vehicle; controlling a traveling actuator so that the subject vehicle travels along a target path generated based on a recognition result; and predicting, when an object is recognized in a current lane or in an adjacent lane, whether a passing run is occur based on a relative speed with the object. The generating includes, when the passing run is predicted to occur, generating the target path so that the subject vehicle executes an offset driving in which the subject vehicle is offset in a vehicle width direction relative to the object, and so that an acceleration of the subject vehicle in the vehicle width direction while shifting to or returning from the offset driving is equal to or less than a predetermined value.

Abstract: A traveling control apparatus includes a microprocessor configured to perform: determining whether a second other vehicle is located within a predetermined range from a subject vehicle when the subject vehicle and a first other vehicle are closer than a predetermined degree in a traveling direction, when the first other vehicle traveling in a first adjacent lane adjacent to a current lane, which has a same traveling direction as the current lane, and the second other vehicle traveling in a second adjacent lane adjacent to the current lane are recognized; and when it is determined in the determining that the second other vehicle is located within the predetermined range, controlling a actuator so that a distance in the traveling direction from the subject vehicle to the first other vehicle becomes not less than a predetermined distance.

Abstract: A route is generated for a robot with multiple parts connected rotatably. Multiple waypoints indicating a posture of the robot are registered. It is determined whether a registration waypoint is allowable as the posture of the robot. The route is generated to connect an added waypoint and an existing waypoint. It is determined whether the route satisfies the condition that the robot is operable. The adding of the waypoint and the generating of the route are repeated until the route reaches the end point. Determination results of the registration waypoint and the generated route and the condition determined not to be satisfied are displayed.

Abstract: A travel control apparatus includes a microprocessor configured to perform: recognizing a surrounding situation of a subject vehicle; generating a target path of the subject vehicle according to the surrounding situation; calculating a correction amount for correcting the target path in a direction away from a first other vehicle traveling in a first adjacent lane in the vehicle width direction, when the subject vehicle is predicted to pass a side of the first other vehicle or the first other vehicle is predicted to pass a side of the subject vehicle; when a second other vehicle traveling in a second adjacent lane is recognized, determining whether to correct the target path based on a traveling situation of the second other vehicle; and correcting the target path based on the correction amount when the target path is determined to be corrected in the determining.

Abstract: A layout generation device includes: a waypoint registration unit, an arrangement generation unit, an arrangement evaluation unit, an arrangement extraction unit, a path determination unit, a path generation unit, an arrangement exclusion unit, and an arrangement evaluation update unit. The arrangement evaluation unit evaluates, as an evaluation value, an operation time of a robot without considering an obstacle for each of arrangements. The arrangement extraction unit extracts an arrangement having a best evaluation value from among the evaluated arrangements by the arrangement evaluation unit. The path determination unit determines whether or not an extracted arrangement extracted by the arrangement extraction unit needs to avoid an obstacle in terms of an operation of the robot via a waypoint.

Abstract: A gripping system includes a hand that grips a workpiece, a robot that supports the hand and changes at least one of a position and a posture of the hand, and an image sensor that acquires image information from a viewpoint interlocked with at least one of the position and the posture of the hand. Additionally, the gripping system includes a construction module that constructs a model by machine learning based on collection data. The model corresponds to at least a part of a process of specifying an operation command of the robot based on the image information acquired by the image sensor and hand position information representing at least one of the position and the posture of the hand. An operation module executes the operation command of the robot based on the image information, the hand position information, and the model, and a robot control module operates the robot based on the operation command of the robot operated by the operation module.

Abstract: A motion path generation device generates a motion path of a robot that has a plurality of joints and a plurality of shafts. Adjacent two of the plurality of shafts are connected by a corresponding one of the plurality of joints. The motion path generation device generates a via point candidate that is a candidate of a next via point to be connected to a parent via point. The motion path generation device adds the via point candidate as a new via point in response to determining that the via point candidate does not interfere with an obstacle.

Abstract: A gripping system includes a hand that grips a workpiece, a robot that supports the hand and changes at least one of a position and a posture of the hand, and an image sensor that acquires image information from a viewpoint interlocked with at least one of the position and the posture of the hand. Additionally, the gripping system includes a construction module that constructs a model by machine learning based on collection data. The model corresponds to at least a part of a process of specifying an operation command of the robot based on the image information acquired by the image sensor and hand position information representing at least one of the position and the posture of the hand. An operation module executes the operation command of the robot based on the image information, the hand position information, and the model, and a robot control module operates the robot based on the operation command of the robot operated by the operation module.

Abstract: An in-vehicle system includes a vehicle position detection unit and a vehicle position calculation unit that detect a vehicle position, a road condition prediction unit that predicts a road condition at a position in front of the detected vehicle position, an automatic driving continuation determination unit that determines whether or not the vehicle automatic driving can be continued at the position in front of the vehicle based on the road condition predicted by the road condition prediction unit, and an automatic driving cancellation warning unit that warns of cancellation of the vehicle automatic driving when the automatic driving continuation determination unit determines that it is difficult to continue the vehicle automatic driving.

Abstract: An in-vehicle system includes a vehicle position detection unit and a vehicle position calculation unit that detect a vehicle position, a road condition prediction unit that predicts a road condition at a position in front of the detected vehicle position, an automatic driving continuation determination unit that determines whether or not the vehicle automatic driving can be continued at the position in front of the vehicle based on the road condition predicted by the road condition prediction unit, and an automatic driving cancellation warning unit that warns of cancellation of the vehicle automatic driving when the automatic driving continuation determination unit determines that it is difficult to continue the vehicle automatic driving.

Abstract: An in-vehicle system includes a vehicle position detection unit and a vehicle position calculation unit that detect a vehicle position, a road condition prediction unit that predicts a road condition at a position in front of the detected vehicle position, an automatic driving continuation determination unit that determines whether or not the vehicle automatic driving can be continued at the position in front of the vehicle based on the road condition predicted by the road condition prediction unit, and an automatic driving cancellation warning unit that warns of cancellation of the vehicle automatic driving when the automatic driving continuation determination unit determines that it is difficult to continue the vehicle automatic driving.