Abstract: The gripping tool according to the disclosed technology is a gripping tool to grip a gripping target based on a principle of driving kirigami, the gripping tool including, gripping portion being sheet-shaped and covering the gripping target, tendon portion having string portion inside and pulling the gripping portion from both sides, pull portion being connected to the tendon portion and functioning as a pulley, fingertips portion being attached to the gripping portion by socket, wherein, the gripping portion is a two-layer structure, the two-layer being a layer of covering layer and core layer.

Abstract: A parameter search device includes an operation result collection unit to collect an operation result including parameters indicating an operation condition of a mechanical device, an evaluation value acquisition unit to acquire evaluation values of the parameters obtained using the operation result, and a parameter search unit to search for a target parameter from the parameters indicating the operation condition of the mechanical device. The parameter search unit predicts a relationship between parameters and evaluation values using a machine learning model, uses the number of search candidates whose evaluation value exceeds the search best as a search end index, and determines whether or not to continue parameter search on the basis of a comparison result between the search end index and a threshold.

Abstract: A refrigeration cycle state predicting device according to the present disclosed technique is a refrigeration cycle state predictor constituting a refrigeration cycle device, and includes a predictor to calculate a prediction value of a future state of the refrigeration cycle device on the basis of an input provisional operation amount array.

Abstract: The present disclosure relates to a traveling trajectory generating apparatus that generates a traveling trajectory of a vehicle and that includes: a reference value storage to store, as a plurality of preceding reference values, a plurality of reference values including information on a state of the vehicle, the information being referred to when the traveling trajectory generating apparatus generates the traveling trajectory; a reference value calculator to calculate a plurality of current reference values, based on at least the plurality of preceding reference values and a target state that is a target value of a vehicle state quantity of the vehicle, the plurality of current reference values being referred to when the traveling trajectory generating apparatus generates the traveling trajectory in a current computation period; and a trajectory generator to generate the traveling trajectory, based on the plurality of current reference values calculated by the reference value calculator.

Abstract: The present disclosure relates to a path planning apparatus, and includes: a travelable region calculation unit configured to calculate a travelable region of a moving body, based on surrounding information of the moving body; a target state calculation unit configured to calculate target state quantity including at least a target position of the moving body; a state prediction unit configured to predict at least current state quantity of the moving body and state quantity of the moving body at one or more positions between a current position and the target position of the moving body, and thereby generate one or more path candidates; a predicted state evaluation unit configured to evaluate the one or more path candidates based on the target state quantity and the travelable region, and output evaluation results; and a path generation unit configured to generate a path from the one or more path candidates based on the evaluation results, and output the path to a motion controller configured to control the mov

Abstract: A control arithmetic device comprises a mixed state equation generation unit to generate a plurality of vehicle state equations each including one or more first state variables that are acquisition targets of one or more internal sensors installed in a vehicle, and generate a first mixed state equation by weighting each of the vehicle state equations using a first weighting function, a vehicle state acquisition unit to acquire a current value of each first state variable by the one or more internal sensors, a target route generation unit to generate a target route of the vehicle based on peripheral information acquired by one or more external sensors installed in the vehicle, and a target value arithmetic unit to calculate a target control value for the vehicle to travel along the target route based on the first mixed state equation and the current value of each first state variable, and output the target control value to a control unit that controls the vehicle.

Abstract: An action planning device includes a plane-coordinate-system movement predictor that predicts the movement of an obstacle detected around the periphery of a moving object by an external sensor mounted on the moving object, in accordance with plane-coordinate-system obstacle information that expresses the obstacle in a plane coordinate system, and outputs a result of prediction as plane-coordinate-system obstacle movement information, a scene judgement part that judges the condition of the obstacle and outputs a situation in the moving object as scene information, and an action determination part that determines the action of the moving object in accordance with the scene information and outputs a result of determination as an action determination result. The control arithmetic device calculates a target value used to control the moving object, in accordance with the action determination result output from the action planning device.

Abstract: It is an object of the present disclosure to provide a travel path generation apparatus and a travel path generation method enabling generation of a travel path not including a curve having a small radius of curvature. A travel path generation apparatus according to the present disclosure includes: a parameter determination unit to determine a cutoff frequency based on spacing between points of a sequence of points each having location information and a predetermined threshold of a radius of curvature, the sequence of points representing a shape of a lane in which a vehicle travels in a two-dimensional or three-dimensional Cartesian coordinate system; and a filtering unit to perform low-pass filtering using the cutoff frequency determined by the parameter determination unit on the location information of each of the points of the sequence of points.

Abstract: In a vehicle control device, a reference route generator obtains point-series information including information on sets of coordinates through which a subject vehicle needs to travel, and approximates, by polynomials each being a function of a route length from a preset reference point, a longitudinal position and a lateral position of the subject vehicle based on the sets of coordinates to generate a reference route represented by the polynomials. A planned traveling distance computing unit calculates a planned traveling distance being a distance that the subject vehicle needs to travel in a unit time of a predefined length. A target value computing unit calculates a target position being a target value of a position of the subject vehicle after the unit time, based on the polynomials of the longitudinal position and the lateral position of the subject vehicle, and the planned traveling distance.