Qingdao University of Technology

Qingdao Haier Washing Machine Co., Ltd.

Remegen, Ltd.

Xi'an Jiaotong University

Qingdao Haier Smart Technology R&d Co., Ltd.

Yantai Rc Biotechnologies, Ltd.

Dong Li

Cheng Jun Chen

Jun Hong

Jianmin Fang

Chunfeng Lao

Sheng Xu

Chang Li

Jinzhu Deng

Shilong Hao

Jiangtao Zhang

Yong Pan

Jingjing Zhang

Min Che

Shuai Zheng

Yao Shuai Yue

Xu Tong Ding

Kai Huang

A registration system for robot-oriented augmented reality teaching system, comprising: a physical robot unit, a registration unit, a virtual robot generation unit and a computer; the physical robot unit comprising a physical robot, a physical robot controller and a robot point-to-point intermittent movement control program; the physical robot provided thereon with a physical robot base coordinate system; the physical robot controller connected with the physical robot and the computer respectively; the robot point-to-point intermittent movement control program installed in the computer; the registration unit comprising a registration marker, a camera and a conversion calculation unit; the registration marker arranged on the physical robot body; the camera fixed in a physical environment except the physical robot; the camera connected with the computer, and the conversion calculation unit arranged in the computer; the virtual robot generation unit arranged in the computer and used for generating a virtual robot model.

Registration system and method for robot-oriented augmented reality teaching system

A surface electromyography signal-torque matching method based on multi-segmentation parallel CNN model (MSP-CNN model), step 1: collecting torque signals and surface electromyography (sEMG) signals when tightening a bolt; step 2: dividing a range of a transducer by at least two granularities, generating a plurality of torque sub-ranges corresponding to the at least two granularities and labeling the plurality of torque sub-ranges with torque labels; step 3: generating sEMG graphs of the sEMG signals in each time window; step 4: determining the torque labels of each time window under each of the at least two granularities according to the torque sub-ranges that average values of torques fall in; step 5: establishing a sample set; step 6: building a MSP-CNN model, and training parallel independent CNN models with sample datasets; and step 7: inputting the sEMG signals of the operator during assembly into trained MSP-CNN model and identifying assembly torques.

Surface electromyography signal-torque matching method based on multi-segmentation parallel CNN model

The present invention relates to a detection method for an assembly body multi-view change based on feature matching, comprising the following steps: S1, acquiring a first image and a second image; S2, performing feature point extraction and feature matching on the first image and the second image to obtain a matching pair set, a first unmatched point set of the first image and a second unmatched point set of the second image; S3, acquiring a first to-be-matched area set of the first image according to the first unmatched point set; acquiring a second to-be-matched area set of the second image according to the second unmatched point set; S4, performing feature matching on each first unmatched area and each second unmatched area one by one to obtain a plurality of matching results; and S5, outputting the assembly body change type according to the plurality of matching results.

Detection method and device for assembly body multi-view change based on feature matching

An assembly change detection method based on attention mechanism, including: establishing a three-dimensional model of an assembly body, adding a tag to each part in the three-dimensional model, setting several assembly nodes, obtaining depth images of the three-dimensional model under each assembly node in different viewing angles, and obtaining a change tag image of a added part at each assembly node; selecting two depth images at front and back moments in different viewing angles as training samples; performing semantic fusion, feature extraction, attention mechanism processing and metric learning sequentially on the training samples, training a detection model, continuously selecting training samples to train the detection model, saving model parameters with optimal similarity during training, completing training; and obtaining depth images of successive assembly nodes during assembling the assembly body, inputting depth images into trained detection model, and outputting change image of added part of the assembly body during assembly.

Assembly body change detection method, device and medium based on attention mechanism

A method for controlling release amount of detergent and a washing device, include: dividing inner space of a detergent box into independent N compartments, wherein each of the compartments is configured to store a type of detergent having a certain concentration range; assigning a concentration level Ci, i=1, . . . , N to each of the compartments wherein the higher the detergent concentration, the lower the concentration level; selecting one of the compartments containing detergent and releasing the detergent in the selected compartment, and obtaining the concentration level C of the selected compartment; obtaining a laundry weight m; and calculating a release amount of the detergent, wherein Vn=1.25*m*(C+1). The formula which is configured to calculate the release amount of detergent is also provided based on both of the detergent concentration level and the laundry weight. Hence, the problem of excess foaming and residue caused by putting too much concentrated detergents which have to introduce more rinsing cycles could be effectively solved.

Method for controlling release amount of detergent, and washing machine

A self-circulating flocculation washing machine comprises an outer barrel, a clothes washing structure arranged in the outer barrel and a flocculation water treatment device arranged outside the outer barrel, and the flocculation water treatment device comprises a flocculation container for performing flocculation treatment on water drained from the outer barrel; the washing machine is also provided with a circulating pipe for driving washing water in the outer barrel to perform self-circulation from bottom to top; one end of the circulating pipe communicates with a self-circulating water outlet in the lower part of the outer barrel, the other end of the circulating pipe communicates with a water outlet of the flocculation container and a self-circulating water inlet of the outer barrel through a tee joint, and a non-return structure for preventing the flocculation water from reflowing is arranged between the tee joint and the water outlet of the flocculation container.

Self-circulating flocculation washing machine and control method

The present invention belongs to the field of biotechnology and relates to the treatment of diseases, especially the treatment of FGF overexpression-related diseases. Particularly, the present invention relates to FGFR-Fc fusion proteins and the use thereof in the treatment of angiogenesis regulation-related diseases. More particularly, the present invention relates to isolated soluble FGFR-Fc fusion proteins and their applications in manufacture of the medicament for the treatment of angiogenesis regulation-related diseases.

FGFR-FC fusion proteins and the use thereof

The present invention relates to angiogenesis-inhibitory fusion proteins and use thereof. Particularly, the present invention provides fusion proteins inhibiting a plurality of angiogenic factors. More particularly, the present invention relates to the fusion proteins of VEGF receptor and FGF receptor and their applications in the treatment of angiogenesis related diseases.

Fusion protein for antagonizing angiogenesis inducible factors and uses thereof

FGFR-Fc fusion proteins and the use thereof

Growing community of inventors

Shandong, China

Dong Li