The three application scenarios of the Jieka robot were selected into the "Shanghai Intelligent Robot Benchmarking Enterprises and Application Scenarios Recommended Catalog"

Create Date: 2024-8-30 12:03:23|Source: Festival card / JAKA

Recently, the Shanghai Municipal Commission of Economy and Information Technology announced the first batch of "Shanghai Intelligent Robot Benchmarking Enterprises and Application Scenario Recommended Catalog" to promote the application examples of intelligent robots to the whole society. The typical applications of the Jieka robot in the precision gluing of the 3C electronics industry, the pin shaft processing in the automotive industry, and the auxiliary catering in the smart catering industry were successfully selected.

The 6 major product series of the card saving robot have good versatility and flexibility, and can be applied to grinding, polishing, assembly, tightening, loading and unloading and other processes, to meet the needs of the global automotive industry chain, 3C electronics, semiconductors, precision manufacturing, new energy and other industrial fields, new consumption, new retail and other commercial fields, as well as university training and other educational fields.

What are the pain points and problems of the industry solved by the three representative applications selected this time, and what kind of application results have been achieved?
The three application scenarios of the Jieka robot were selected into the "Shanghai Intelligent Robot Benchmarking Enterprises and Application Scenarios Recommended Catalog"
3C precision gluing force control collaborative robot for electronics industry

Taking the assembly of Bluetooth headsets as an example, JAKA has built a card-saving robot gluing workstation with the characteristics of simple programming, self-adjustment of path, stable processing speed, support for periodic gluing and batch modification, etc., to achieve automatic gluing.

1. The pain point of Bluetooth headset gluing demand

Bluetooth headsets come in different shapes and compact structures, and integrate multiple modules such as audio, driver, microphone, Bluetooth, motion sensor, and battery. When gluing, there are the following pain points:

1) The path is complex, with many irregular arcs. For example, common boxed headphones have an outer diameter of about 5-7mm at the bottom and less than 4 mm on the inside. At the same time, the internal parts of the earphones are precise and diverse, resulting in complex paths.

2) Precision gluing process, difficult to implement. For example, when filling the gap at the bottom of the earphone, it is necessary to evenly fill the glue in the arc gap 0.25mm wide behind the top of a slope and do not allow glue overflow.

3) The consistency of the gluing process is strict. The consistency of the glue amount directly affects the gluing effect, and the above-mentioned bottom gap filling needs to be accurately filled with 1.68mg glue in each uniform and different gap, so the gluing accuracy, speed and stability are extremely high requirements.

4) There are many types of glue, which need to be compatible with multiple processes. Manufacturers will use all kinds of glues, and the automatic gluing workstation needs to be compatible with more glue types and process scenarios.

2. The pain points of the traditional production mode of "manual + special aircraft".

1) The labor cost is high, and the quality is difficult to guarantee. Workers work for a long time, which is easy to cause fatigue, and manual methods are easy to apply glue unevenly, resulting in low production efficiency and quality decline.

2) High experience requirements and low degree of standardization. Gluing tests the experience of workers, is difficult to replicate to new employees, and is difficult to standardize.

3) The gluing posture changes greatly and requires manual intervention. Although the current gluing machine can achieve 0.01mm gluing accuracy, it is limited by the mechanical structure, and the gluing range is only within 10mm. At the same time, the gluing machine is mostly three-axis, which is difficult to cope with the complex cavity gluing of headphones that requires large posture changes.

3 solutions

The Jieka robot gluing workstation adopts the architecture of "force sensing + robot + special machine" to realize the gluing and wiping of the complex cavity of the Bluetooth headset.

When gluing, the force control S version of the collaborative robot of Jieka Xiaozhu series adjusts the gluing path in real time according to the collected force sensor data, combined with advanced force control algorithms and trajectory planning, so as to achieve precise motion control, avoid gluing jitter and automatic displacement, and ensure the gluing quality of the special machine.

In the same way, when wiping glue, the collaborative robot will also self-perceive the wiping strength, which solves the problem that it is difficult to take into account the efficiency and quality of gluing and wiping at the same time.

Taking gluing as an example, the process flow is as follows:

1) In the developed robot application process package, set relevant parameters, such as headset model, glue model, glue machine model, force control shaft number and torque size, force control mode, etc.

2) The robot uses the gripper to pick up the earphone to be processed on the workbench and moves it to the gluing position.

3) According to the specific requirements of the process, the robot controls the opening and closing of the gluing machine and the amount of glue output in real time.

4) The robot makes the headset move according to the preset trajectory. At the same time, the robot obtains the data of the force control sensor in real time and calculates the force change of the gluing position to keep the end constant force.

5) Adjust the movement speed and trajectory in real time according to the force change to ensure uniform and stable gluing.

6) After completing the gluing, the robot turns off the gluing machine and puts the earphones into the next station.

4. Application effectiveness

At present, the card-saving robot gluing workstation has been put into use in the factory of a well-known high-end Bluetooth headset manufacturer in China, effectively improving production efficiency, yield rate and product consistency, and promoting the development of intelligent automation in the 3C electronics industry.

The collaborative robot automobile pin processing in the automotive industry has long relied on manual processing, which has problems such as low production efficiency, inconsistent process level, and poor working environment. The automatic pin shaft processing workstation of the Jieka robot can complete the grinding and processing of automobile pin shafts and other parts without the intervention of personnel, helping the automotive industry to realize the intelligent and automated upgrade of the production line.

1. Pain points of traditional pin shaft processing

1) There are many types and complex structures. There are many types of pins (hundreds of specifications), complex environments (dust, oil, high temperature, etc.), and different postures (random stacking, welt/corner placement).

2) The environment is fixed and the passage is narrow. CNC machine tools are required for pin processing, and the passage between machine tools is generally 1.0m-1.5m, which can only allow the trolley to pass, and it is difficult to implement automatic transformation.

3) Long time for on-site transformation and commissioning. For workshops with hundreds or thousands of machine tools, the debugging cycle of the traditional assembly line is too long, which affects the normal production.

2. Difficulties in robot application

1) High requirements for positioning accuracy and production cycle time. When the robot works for a long time, the accuracy cannot decay significantly, and the beat needs to be stable.

2) It is impossible to avoid the accumulation of cutting during machining. During the machining process, cutting fluids and the like will affect the machine tool chuck clamp and release pin shaft.

3) It is difficult to communicate with the robot and the equipment in real time. In order for the workstation to work in an orderly manner, the robot needs to interact with the machine tool for data. However, robots and machine tools are heterogeneous systems, and data communication standards are often not uniform, resulting in difficulties in interaction, and additional interaction mechanisms need to be built.

3 solutions

The automatic pin shaft processing workstation of the Jieka robot adopts the architecture of "Jieka Xiaozhu series collaborative robot + CNC machine tool" to independently complete the work of pin blank feeding, pin clamping, machine tool processing, positioning detection, blanking, etc. The double-station design can realize 1 robot to manage 2 CNC machine tools, with stable performance and high degree of automation.

Key Benefits:

1) Compact robot body design. The robot body integrates the motor, drive and control, reducer, dual encoder and other components into the robot to realize the miniaturization of the robot and can be installed in a small space.

2) Robot high-precision motion control technology. A high-precision encoder is used to obtain the robot's motion position in real time. At the same time, the motion control algorithm based on the combination of speed optimization and feedforward compensation is adopted, and the repeated positioning accuracy of the joint card robot can reach ±0.02mm, which ensures the position accuracy of pin shaft processing. With an average operating time between failures (MTBF) of 80,000 hours, the robot has high reliability and can maintain stable operation accuracy and cycle time while working for a long time.

3) Robot and peripheral communication technology. The whole line of the Jieka robot supports TCP/IP, Modbus (RTU/TCP), EtherNet/IP and PROFINET and other communication protocols, basically covering the current mainstream industrial bus. Without considering the communication protocol, it can be matched with most PLCs, CNC machine tools and other equipment to achieve seamless connection between devices.

4) Efficient coordination of auxiliary devices. The team carefully analyzes the influence of cutting fluid on the chuck, and uses air blowing devices and monitoring devices to deal with the cutting accumulation in a timely manner to ensure the smooth implementation of pin processing.

4. Application effectiveness

The automatic pin shaft processing workstation of the Jieka robot efficiently meets the requirements of pin shaft processing, effectively replaces manual labor, realizes the functions of picking and unloading, detection and other functions, occupies a small area, has high production efficiency, and flexible process modification. At present, the workstation has been put into use in the factories of world-renowned automobile manufacturers, and one robot can manage two CNC machine tools for pin processing, helping the automotive industry to improve efficiency and reduce labor costs.

Assistive catering collaborative robots in the smart catering industry

Integrating innovative human-computer interaction technology, the MiniCobo collaborative robot is widely used in new business scenarios, such as making coffee latte art, brewing tea, making ice cream, boiling noodles, etc., saving labor costs and opening up new ideas for the catering and retail industry.

1. Difficulties in the application of new business scenarios

1) Traditional collaborative robots are large in size. For example, the bubble tea shop in the core area is generally about 6-8 square meters, and if traditional collaborative robots are arranged, the store will be more crowded. Sometimes it is necessary to renovate the storefront and increase the cost of renovation.

2) The learning threshold is high. Employees in new business scenarios are less likely to have professional knowledge of robots, and the threshold for using robots is high.

3) Single product function. There are many new business scenarios, and bots are more likely to perform predetermined actions, making it difficult to interact with customers and reducing the user experience.

2 solutions

The MiniCobo collaborative robot solves the application pain points of new business scenarios in the following ways:

1) Lightweight design, smaller footprint. Compared with traditional collaborative robots, the weight of the MiniCobo collaborative robot is less than 10kg, which is better than the same type of products on the market, and has broken through the key technology of lightweight robotic arms. At the same time, it is equipped with a MiniCab control cabinet with a size of 180×128×47 (mm) and a weight of less than 2kg, which can be placed in a small space. There is no need to change the layout of the store, and avoid additional expenses such as renovations.

2) Graphical & drag-and-drop programming, lower threshold for use. It adopts a wireless teaching pendant, equipped with a trajectory teaching reproduction function, and has built-in graphical programming software. Employees do not need to have professional programming knowledge, and after simple training, they can quickly build programs and achieve standardized operations.

3) Open software and hardware ecosystem, flexible with various peripherals. The robot has high compatibility, rich secondary development interfaces, advanced visual and force algorithm interfaces, and can quickly connect with upstream and downstream automation equipment, with good versatility and flexibility. At the same time, combined with the JAKA+ ecosystem, the festival card robot can be equipped with various peripherals to flexibly respond to various scenarios such as catering and retail.

3. Application effectiveness

The MiniCobo collaborative robot has been widely used in many smart catering stores in China, which can operate 24 hours a day, breaking the restrictions of business hours and opening up unlimited imagination space for the development of smart retail and unmanned retail formats.

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