Abstract: Provided are an information generation method and apparatus, and an electronic device.

Abstract: This disclosure provides an adjustment method of a display panel, including: obtaining one or more gamma voltages respectively corresponding to binding points of an extreme grey scale of the display panel as one or more first gamma voltages; obtaining one or more gamma voltages respectively corresponding to binding points of a secondary grey scale adjacent to the extreme grey scale as second gamma voltages; adjusting the gamma voltages corresponding to binding points of the secondary grey scale based on the first gamma voltages and the second gamma voltages to obtain one or more target gamma voltages of the binding points of the secondary grey scale; and adjusting a grey scale value of the extreme grey scale in a preset grey scale-ACC LUT of the display panel, so that a brightness value of the secondary grey scale in the preset grey scale-ACC LUT reaches a target brightness value.

Abstract: A method and a system for rhythmic motion control of a robot based on a neural oscillator, including: acquiring a current state of the robot, and a phase and a frequency generated by the neural oscillator; and obtaining a control instruction according to the acquired current state, phase and frequency and a preset reinforcement learning network so as to control the robot. The preset reinforcement learning network includes an action space, a pattern formation network and the neural oscillator. A control structure designed by the present disclosure, which is composed of the neural oscillator and the pattern formation network, can ensure formation of an expected rhythmic motion behavior; and meanwhile, a designed action space for joint position increment can effectively accelerate the training process of rhythmic motion reinforcement learning, and solve a problem that design of the reward function is time-consuming and difficult in learning with existing model-free reinforcement learning.

Abstract: A method for controlling motions of a quadruped robot based on reinforcement learning and position increment, including: acquiring motion environment information, quadruped robot attitude information, and foot sole position information; based on the acquired information, generating foot sole positions of the quadruped robot during motions within all preset time steps, and calculating a change of the foot sole positions in all the time steps; taking a maximum moving distance within a single time step as a constraint, and accumulating the time steps at the same time to obtain a foot sole position trajectory; and controlling the quadruped robot to perform corresponding actions based on the foot sole position track combined with a preset reward function, so as to keep motion balance of the quadruped robot.

Abstract: This disclosure provides an adjustment method of a display panel, including: obtaining one or more gamma voltages respectively corresponding to binding points of an extreme grey scale of the display panel as one or more first gamma voltages; obtaining one or more gamma voltages respectively corresponding to binding points of a secondary grey scale adjacent to the extreme grey scale as second gamma voltages; adjusting the gamma voltages corresponding to binding points of the secondary grey scale based on the first gamma voltages and the second gamma voltages to obtain one or more target gamma voltages of the binding points of the secondary grey scale; and adjusting a grey scale value of the extreme grey scale in a preset grey scale-ACC LUT of the display panel, so that a brightness value of the secondary grey scale in the preset grey scale-ACC LUT reaches a target brightness value.