The present disclosure is applicable to robot technology. A method for robot posture detection and a robot are provided. The method includes: obtaining a position parameter of each of nodes of a robot; obtaining a first weighted value of each of the nodes corresponding to the position parameter of the corresponding node; calculating a weighted value of each of body parts of the robot based on the first weighted value of the node of the corresponding body part; and correcting an original parameter of a center of gravity of the robot according to a body gravity center influence factor of each of the body parts, and the weighted value of each of the body parts.

The present disclosure is applicable to robot technology. A method for robot fall prediction, and a robot are provided. The method includes: searching a weighted value of a center of gravity of the robot corresponding to a posture of the robot, according to a preset first corresponding relationship; correcting an offset of the center of gravity of the robot based on the weighted value of the center of gravity of the robot; correcting an acceleration of the robot based on an offset direction of the center of gravity of the robot; and determining whether the robot will fall based on the corrected offset of the center of gravity, the offset direction of the center of gravity, and the corrected acceleration of the robot. The present disclosure improves the real-time performance and accuracy of the prediction for the fall of a robot through the fusion calculation of various data.

The present disclosure is applicable to robot technology. A method, an apparatus, and a terminal device for robot posture detection are provided. The method includes: obtaining a position parameter of each node of a robot; obtaining a node gravity center offset weighting value corresponding to the position parameter; calculating a body gravity center offset weighting value for each body part of the robot basing on the node gravity center offset weighting value; and correcting an original gravity center parameter of the robot according to a body gravity center influence factor and the body gravity center offset weighting value for the each body part.

The present disclosure is applicable to robot technology. A method, an apparatus and a terminal device for robot fall prediction are provided. The method includes: searching for a gravity center offset weighting value corresponding to a posture of a robot; correcting a gravity center offset of the robot basing on the gravity center offset weighting value; correcting an acceleration of the robot basing on a gravity center offset direction of the robot; and determining whether the robot will fall or not basing on the corrected gravity center offset and the corrected acceleration. The present disclosure improves the real-time performance and accuracy of the prediction for the fall of a robot through the fusion calculation of various data.