Googol Technology (China)

This paper investigates the impact of optical defocus rate (ODR) of the lenticular lens on the three‐dimensional (3D) images by the numerical simulation platform based on the accurate ray‐tracing method. Our research shows that the 3D displays, even with the same pitch lenticular lens, have different levels of 3D crosstalk depending on the different ODR. The experimental data are in good agreement with the numerical analysis.

The union combining the stitching of normal images and unsupervised semantic segmentation of the stitched image is an important region, which is crucial for autonomous driving, intelligent robots, and vehicle detection. This paper designs an union method combining the stitching of normal images and unsupervised semantic segmentation of the stitched image. The normal images are stitched by using the image stitching method designed by Ribeiro D.. The semantic segmentation method for the stitched image uses the method opened in the github. The stitched image contains image distortion. The distortion of the stitched image will make the feature extraction unreasonable. The distortion form of the stitched image is different from the distortion form of the panoramic image combined by line images. Therefore, the DCM proposed by Xing Hu is useless to extract features of the stitched image reasonable. This paper improves the DCM as the improved distortion convolution module (IDCM) by using the deformable convolution, the clamp module, the type transformation module, and the gather module. The IDCM is added before the unsupervised semantic segmentation method opened in the github to extract features reasonable. The IDCM-NUSSM method and the ISM-IDCM-NUSSM method are proposed. The experimental results show the better performance of the designed methods.

Industrialized insect-based bioconversion is a technologically promising and economical viable approach for solving global crisis of food security and waste management. The successful implementation of such a multi-disciplinary system requires comprehensive expertise and skills from biotechnology, automation, information, and circular economy domains. This is rather difficult for existing practitioners. To simplify their jobs, by leveraging recent advances in industrial informatics, this work proposed and developed a low-code development platform for engineering the automation logic of industrial insect rearing and processing. For feasibility demonstration, a pilot facility has been designed, deployed, and benchmarked in this work. When compared with the conventional pro-code practice, the proposed low-code approach can significantly reduce development costs, shorten delivery times, and improve communication efficiency.

Abstract An upper limb rehabilitation robot based on twist spring drive is proposed in this paper, which can realized shoulder and elbow rehabilitation training of patients with upper limb disabilities. The mathematical model of the twist spring drive is established, and the dynamic equation of the robot is built. The mechanical structure of the robot is meticulously designed using SolidWorks. The performance of the robot is numerical simulated in MATLAB/Simulink, and validated in semi-physical experimental platform based on dSPACE1202. The simulation and experimental results show that the proposed robot can realized rehabilitation training of upper limb, which provide an effective rehabilitation training method for people with upper limb disabilities.

Aiming at the problem that the visual SLAM algorithm is easily disturbed by complex environmental factors, resulting in poor closed-loop accuracy and real-time performance. An improved closed-loop detection algorithm based on a dynamic increase or decrease mechanism is proposed. The algorithm can dynamically increase or decrease the number of words in the visual bag of words in real time according to the complexity of the scene; and optimize the selected keyframes through a double-threshold keyframe selection strategy to reduce the redundancy of keyframes, thus improving the system's real-time performance. The algorithm in this paper can achieve localization and position correction in complex environments. Test results in public datasets and real scenes demonstrate the advantages of the proposed algorithm in terms of accuracy, real-time performance, and adaptability to the environment.

The direction of the end-effector is fixed in most of industrial robot applications, such as grinding, welding and spraying. The sixth axis of 6R industrial robot is the redundant freedom for these applications. This paper uses the redundant freedom to make orientation planning. In addition, most of time tool paths for these applications may be composed of some short and complex curves. It is difficult and time-consuming for online teaching method to make tool path planning. Therefore, an off-line programming(OLP) method was adopt to solve these problems in this paper. The path planning strategy and the orientation planning strategy were proposed and applied into the OLP system to generate the tool path automatically for these applications.

Flexibility and reconfigurability of production systems requires intelligent devices and products that enables easy integration and reconfiguration eliminating the need of explicit programing the functionality of resulting system. This lead to the development of such concept as Intelligent Mechatronic Component. However, coordinating such distributed\nself-contained components into the desired logic of operation is a challenging task. Multi-agent systems (MAS) architecture provides necessary features for seamless integration of individual functionalities of\nagents into system’s behaviour by self-configuration. The presented study explores an approach where MAS realizes high level coordination tasks while IMCs provides embedded services. MAS is realized in GORITE goal-oriented team programming framework deployed as web service in the Cloud. Low-level control of IMCs is developed in IEC 61499. The paper presents a case\nstudy of a Pick and Place manipulator composed of intelligent cylinders.

This paper designs an algorithm to generate time-optimal and energy-efficient trajectory for manipulators along a predefined geometric path. The path is first parameterized by cubic spline, then the trajectory generation problem is transformed into a nonlinear optimization problem with single state variable. After discretization, Sequence quadratic programming(SQP) method is applied for optimal solution. Finally, applications to a 6-DoF manipulator along different paths demonstrates the feasibility of the proposed method.