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45results about How to "Improve anthropomorphism" patented technology

Automatic driving overtaking decision-making method based on reinforcement learning under opposite double lanes

The invention discloses an automatic driving overtaking decision-making method based on reinforcement learning under opposite double lanes. The method comprises the following steps of collecting the traffic state of an automatic driving vehicle through a sensor; inputting the collected traffic state into a trained decision model; enabling the decision model to select a corresponding driving actioninstruction from the action space according to the input information and output the driving action instruction, and driving the vehicle automatically to form a new traffic state after the driving action; calculating a reward value of the driving action through a reward function, and storing the original traffic state, the driving action, the reward value and the new traffic state into an experience playback pool as transfer samples; calculating a loss function value of the decision model, and optimizing parameters of the decision model according to the transfer sample and the loss function value; and repeating the steps until the automatic driving is finished. The safety and comfort of the overtaking decision-making process of the automatic driving vehicle are ensured, and the humanization and robustness of decision-making are improved through a reinforcement learning decision-making method.
Owner:WUHAN UNIV OF TECH

Emotional intelligent voice call-out method and device, server and storage medium

The embodiment of the invention discloses an emotional intelligent voice call-out method and device, a server and a storage medium, and the method comprises the steps: obtaining a customer service corpus and a customer corpus of a first flow node, converting the customer service corpus into first customer service voice data, and transmitting the first customer service voice data to a target customer; receiving voice data of a target client, and determining a target process baseline where the first process node is located according to a matching result of a target client text corresponding to the voice data and the client corpus; determining a next process node according to the process sequence value of the first process node in the target process baseline; obtaining an emotion label of thevoice data according to the voice feature information and the emotion text information of the voice data; obtaining a target emotion label according to the emotion contrast matrix and the emotion label; and generating second customer service voice data according to the target emotion label and the customer service corpus of the next process node, and replying the second customer service voice data to the target customer. By adopting the method and the device, the outbound success rate and the anthropomorphic degree of the outbound voice can be improved.
Owner:CHINA CONSTRUCTION BANK

Control system

The invention provides a control system. The control system comprises a PCU, a vehicle control unit, a motor controller, an EPS controller, an automobile body controller, a sweeping brush controller and an induced draft fan controller, wherein the PCU converts voltage of a battery system; the vehicle control unit receives an operation command, generates sweeping path data, generates decision result information according to the sweeping path data, barrier information and position information, and accordingly generates torque control information and steering control information; the motor controller controls the rotating speed of a motor of a vehicle; the EPS controller controls steering of an EPS of an automobile; the automobile body controller transmits a starting signal or a turn-off signal; the sweeping brush controller starts a sweeping brush motor and a sweeping brush lifting control motor according to the starting signal; and the induced draft fan controller is used for starting an induced draft motor according to the starting signal. By use of the provided control system, the voltage of the battery system can be converted through the PCU, power is supplied for the EPS controller independently to reduce interference to the EPS controller, and meanwhile, the control system is high in sensitivity and high in anthropomorphism.
Owner:广东纵行科技有限公司

Human arm kinematics modeling method based on Gaussian process learning

The invention discloses a human arm kinematics modeling method based on Gaussian process learning. The method comprises establishing a seven-degree-of-freedom (DOF) human arm kinematics model, inputting the palm pose of the human arm and the lengths of the upper arm and the lower arm, and outputting the most comfortable arm configuration when the human arm moves. According to the method, an infrared motion capture instrument is used for collecting shoulder joints, elbow joints, wrist joints, palms central pose and the lengths of upper and lower arms when human arms move in a most comfortable manner; a Gaussian process regression method is used for learning a Gaussian process regression model of a palm center pose, upper and lower arm lengths and an arm angle when a human arm moves in a most comfortable mode, and a human arm kinematics model based on Gaussian process learning is established. The method has the advantages that the complex motion mechanism of the human arm does not need to be studied, and compared with traditional methods based on energy optimization, biomechanical models and the like, calculation is simpler; the palm center pose is used as input, the lengths of the upper arm and the lower arm are used as input, and therefore the anthropomorphic arm obtained through the method is more accurate in configuration and higher in universality.
Owner:XIAN UNIV OF SCI & TECH
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