Abstract: A method for selecting a grasp posture of a dual-arm robot includes: setting a fitness value range, an iteration quantity threshold, and a fitness function; calculating the fitness value of the population, determining whether the population is within the value range, ending an iteration if the population is within the value range or continuing to determine whether a quantity of iterations reaches the iteration quantity threshold if the population is not within the value range, ending the iteration if the quantity of iterations reaches the iteration quantity threshold or performing crossover and mutation operations if the quantity of iterations does not reach the iteration quantity threshold, and dynamically selecting a gene retention strategy based on an iteration depth and a fitness value to retain a gene; updating a gene population representing a grasping position and performing determining cyclically; and obtaining an optimal target corresponding to dual arms after the iteration.

Abstract: This application discloses a notification display method and an electronic device, and relates to the field of terminal technologies. The method includes: An electronic device may receive notification information delivered by a first application, and output different display content based on the notification information and different types of display screens. Display screen types may include an AOD screen, a lock screen, a drop-down screen, a desktop screen, an immersive application screen, and the like. In addition, the electronic device may display a card including the notification information on a desktop screen. A user may further process notification content based on the card. The notification display method can help the user quickly view the notification content, thereby improving efficiency of dealing with the notification information by the user.

Abstract: A method for selecting a grasp posture of a dual-arm robot includes: setting a fitness value range, an iteration quantity threshold, and a fitness function; calculating the fitness value of the population, determining whether the population is within the value range, ending an iteration if the population is within the value range or continuing to determine whether a quantity of iterations reaches the iteration quantity threshold if the population is not within the value range, ending the iteration if the quantity of iterations reaches the iteration quantity threshold or performing crossover and mutation operations if the quantity of iterations does not reach the iteration quantity threshold, and dynamically selecting a gene retention strategy based on an iteration depth and a fitness value to retain a gene; updating a gene population representing a grasping position and performing determining cyclically; and obtaining an optimal target corresponding to dual arms after the iteration.