Experimental studies of robotic assembly of precision parts

Self Cite

Pneumohydraulic pressure amplifiers are widely used in mechanical engineering. Using a pneumohydraulic amplifier makes it possible to minimize the size of the presses while simultaneously multiplying their technological effort. A significant disadvantage of the classical method of force multiplication is the low speed of movement of the working bodies of technological equipment under a hydraulic drive. The article proposes a fundamentally new design of a pneumohydraulic amplifier, in which a high-speed pneumatic cylinder carries out the idling of the technological tool, and force multiplication is carried out only at the stage of the working stroke, which allows many times to increase the performance of the amplifier. This effect is achieved by using a movable hydraulic chamber. The engineering formulas and diagrams presented in the article for calculating the parameters of a new pneumohydraulic amplifier allow engineers to adapt the amplifier to various technological conditions. The economic effect when using the proposed amplifier design is achieved by multiplying the productivity of the press equipment.

Section: Prerequisites and Means For Solving The Problemmentioning

confidence: 99%

Improvement of the pneumohydraulic amplifier for press machines: Design and parameter calculation

Polishchuk¹,

Tkach²,

Kornaga³

2023

Self Cite

“…For Industry 4.0, robot arms have emerged as critical components in modern production lines. These production lines typically consist of multiple stations where a variety of tasks are executed, including assembly [1], inspection [2], and packaging [3]. Robot manipulators are programmable to carry out these tasks [4] autonomously, or they can collaborate with human workers [5].…”

Section: Introductionmentioning

confidence: 99%

Using an HSV-based approach for detecting and grasping an object by the industrial manipulator system

Ngo

2023

In the context of the industrialization era, robots are gradually replacing workers in some production stages. There is an irreversible trend toward incorporating image processing techniques in the realm of robot control. In recent years, vision-based techniques have achieved significant milestones. However, most of these techniques require complex setups, specialized cameras, and skilled operators for burden computation. This paper presents an efficient vision-based solution for object detection and grasping in indoor environments. The framework of the system, encompassing geometrical constraints, robot control theories, and the hardware platform, is described. The proposed method, covering calibration to visual estimation, is detailed for handling the detection and grasping task. Our approach's efficiency, feasibility, and applicability are evident from the results of both theoretical simulations and experiments.

“…Because of the ability to perform dangerous, dirty and /or repetitive tasks with consistent precision and accuracy, the industrial robot arm is increasingly used in a variety of industries and applications such as handling, palletizing, cutting, finishing, sealing and gluing, spraying, welding… [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Industrial robot arm controller based on programmable System-on-Chip device

Cong¹

2021

Field-programmable gate arrays (FPGAs) and, recently, System on Chip (SoC) devices have been applied in a wide area of applications due to their flexibility for real-time implementations, increasing the processing capability on hardware as well as the speed of processing information in real-time. The most important applications based on FPGA/SoC devices are focused on signal/image processing, Internet of Things (IoT) technology, artificial intelligence (AI) algorithms, energy systems applications, automatic control and industrial applications. This paper develops a robot arm controller based on a programmable System-OnChip (SoC) device that combines the high-performance and flexibility of a CPU and the processing power of an FPGA. The CPU consists of a dual-core ARM processor that handles algorithm calculations, motion planning and manages communication and data manipulation. FPGA is mainly used to generate signals to control servo and read the feedback signals from encoders. Data from the ARM processor is transferred to the programmable logic side via the AXI protocol. This combination delivers superior parallel-processing and computing power, real-time performance and versatile connectivity. Additionally, having the complete controller on a single chip allows the hardware design to be simpler, more reliable, and less expensive.