Abstract: A gripping apparatus includes a tray, a detector, a robot, and a controller. The tray has a placement surface on which multiple workpieces of plate shape are to be placed. The placement surface is provided with multiple recesses. The detector is configured to detect arrangement of the workpieces placed on the tray. The robot is attached with a hand. The controller is configured to move and insert the workpieces into the recesses by vibrating the tray, specify the workpieces in a standing state with the detector, and instruct the robot to grip one of the workpieces in the standing state with the hand in a predetermined direction.

Abstract: Systems, methods, and other embodiments described herein relate to detecting obstacles from unknown objects during automated driving by a vehicle. In one embodiment, a method includes generating, from an image that includes an unknown object, a depth map from a depth estimation component and processed data from a semantic segmentation component in parallel by using a neural network model. The method also includes detecting that the unknown object is an obstacle when the unknown object satisfies criteria using an optical model according to the depth map and a segmentation map. The method also includes determining a height of the obstacle and a distance to the obstacle according to the optical model and the criteria. The method also includes adapting a vehicle plan of the automated driving according to the height.

Abstract: Disclosed are a vehicular electronic device and an operation method thereof. The device includes a processor configured to acquire data of a situation of a vehicle, to determine whether the vehicle is a platooning vehicle based on the data, and to determine any one of vehicles in the group as a representative vehicle that transmits a basic safety message (BSM) as a representative of the group upon determining that the vehicle is the platooning vehicle. Data generated by the vehicular electronic device is transmitted to an external device using a 5G communication method. According to the present disclosure, an electronic device of an autonomous vehicle is associated or fuses with a device related to an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service, or the like.

Abstract: An opening and closing body control device for a vehicle includes: a control unit configured to control an opening and closing body drive device driving an opening and closing body of a vehicle to open and close the opening and closing body based on an operation request; and a detection unit configured to detect an obstacle present around the opening and closing body based on a detection result of an obstacle sensor. The control unit sets an operation speed of the opening and closing body to a first speed when the obstacle is not detected during an operation of the opening and closing body, and sets the operation speed to a second speed or less and causes the opening and closing body to stop at a position where the opening and closing body is close to the obstacle, when the obstacle is detected during the operation.

Abstract: A flow control system for three-dimensional (3D) control of fluids with a high spatiotemporal resolution using alternating magnetic fields is disclosed. This technology is applicable to many disciplines, including fluid dynamics, microfluidics, electrochemistry, metallurgy, and healthcare. In particular, the proposed technique can address challenging problems such as turbulence control, drag reduction, contactless mixing, crystal growth control, and targeted drug delivery.

Abstract: A robot balance control method, a controller, and a computer readable storage medium are provided. The method includes: obtaining a desired motion trajectory matching a current motion status by performing a parameter adaptation adjustment on a current planned motion trajectory; determining, according to the motion status, a desired state parameter of each of soles, a centroid, and a waist of a humanoid robot for conforming to the desired motion trajectory; calculating, based on the motion status and the desired state parameter of each of the soles, the centroid, and the waist of the humanoid robot, a desired driving parameter of the humanoid robot for simultaneously meeting a robot dynamics requirement, a sole control requirement, a centroid control requirement, a waist control requirement, and force control parameter distribution constraint(s) at the current moment; and controlling, based on the desired driving parameter, a movement of the humanoid robot.

Abstract: A method of controlling a motorized wheelchair including a seat frame supporting a seat, a back frame to which the seat frame is detachably connected, a first main wheel and a second main wheel respectively installed at both lower ends of the back frame, an inclination detecting sensor which detects an inclination, and a controller which controls the main wheel and the second main wheel, includes receiving an input for a turning operation, calculating an inclination angle of a running ground by the inclination detecting sensor, and determining whether the inclination angle is greater than a reference angle.