Abstract: A bionic robot is provided, which includes a body; a plurality of sets of wheeled leg devices arranged at intervals in a front-rear direction, each comprising two wheeled leg devices arranged symmetrically in a left-right direction, each comprising a leg assembly and a travel wheel, and a power output shaft connected to the travel wheel; and a suspension device disposed in the body and connected to at least two sets from the plurality of sets of wheeled leg devices. The at least two sets of wheeled leg devices are located at the foremost end and the backmost end respectively. The suspension device comprises a plurality of drive assemblies, each connected to a corresponding leg assembly, which each comprise: an electric cylinder being configured to drive a telescopic rod to extend or retract; a damper connected between the body and the leg assembly; and an elastic member fitted over the damper.

Abstract: A positioning method of functional rotation center of shoulder based on rigid upper arm model includes: step 1: abstracting a human upper arm into a cylinder with FRCS as a center of top surface; step 2: determining a reference axis vector of the cylinder; step 3: determining an axis vector of the cylinder and a displacement from the reference axis vector to the axis vector; step 4: correcting a central axis direction of the cylinder; step 5: determining a height compensation of the cylinder, and positioning the FRCS. The method has higher accuracy for the positioning result of FRCS, the positioning result of FRCS has better stability relative to the upper arm and trunk, and can be used to establish a more accurate human digital dynamic model and predict more accurate human posture.

Abstract: A detecting method and a positioning analysis method of human functional joint rotation center are provided. The detecting method of human functional joint rotation center includes: step 11: in a continuous motion, a human functional joint rotation center FCR is abstracted as a center of a flexible ball; step 12: at any moment during a test, position coordinates of the center of the ball (i.e. FCR) at the moment are determined according to position coordinates of M1, M2 and M3, and then the motion trajectory of the FCR is obtained in the continuous motion; the positioning analysis method performs positioning analysis of joint positions based on morphological parameters collected by 3D scanning. The detecting method is based on an idea of flexible ball, its operation is simple within a certain error range, and the method performs very well in the continuity of trajectory of joint.

Abstract: A detecting method and a positioning analysis method of human functional joint rotation center are provided. The detecting method of human functional joint rotation center includes: step 11: in a continuous motion, a human functional joint rotation center FCR is abstracted as a center of a flexible ball; step 12: at any moment during a test, position coordinates of the center of the ball (i.e. FCR) at the moment are determined according to position coordinates of M1, M2 and M3, and then the motion trajectory of the FCR is obtained in the continuous motion; the positioning analysis method performs positioning analysis of joint positions based on morphological parameters collected by 3D scanning. The detecting method is based on an idea of flexible ball, its operation is simple within a certain error range, and the method performs very well in the continuity of trajectory of joint.

Abstract: A positioning method of functional rotation center of shoulder based on rigid upper arm model includes: step 1: abstracting a human upper arm into a cylinder with FRCS as a center of top surface; step 2: determining a reference axis vector of the cylinder; step 3: determining an axis vector of the cylinder and a displacement from the reference axis vector to the axis vector; step 4: correcting a central axis direction of the cylinder; step 5: determining a height compensation of the cylinder, and positioning the FRCS. The method has higher accuracy for the positioning result of FRCS, the positioning result of FRCS has better stability relative to the upper arm and trunk, and can be used to establish a more accurate human digital dynamic model and predict more accurate human posture.

Abstract: Disclosed are a testing method, a system and a device for flicker fusion frequency range. The testing method comprises: taking end point values of a self-preset range as starting judgment values; acquiring a flicker judgment result of a subject; if the flicker judgment result is flickering, continuing to execute the acquisition step by increasing a judgement value until the flicker judgment result turns into non-flickering, and defining a judgement value at the moment of turning as an judgment valueup; if the flicker judgment result is non-flickering, continuing to execute the acquisition step by decreasing a judgement value until the flicker judgment result turns into flickering, and defining a judgement value at the moment of turning as an judgment valuedown; and acquiring a flicker fusion frequency range which takes a judgment valueup and a judgment valuedown as end point values.