Notice of Participation in [Kansai] Factory Innovation Week 2025 from May 14 (Wednesday) to May 16 (Friday), 2025

Created efficient and error-free programs tailored for processes such as welding, painting, and cutting. There are also cases where teaching time was reduced by 70%!

Our company uses offline teaching (OLP) software compatible with various equipment to teach industrial robots quickly and easily. This allows us to teach robots that accommodate various brands, processes, and complexities up to ten times faster, minimizing downtime. By utilizing a process knowledge database that saves programs for reuse at any time, we maintain consistent quality. We convert programs using 17 types of post-processors. 【Features】 ■ Teach robots without stopping production while working in the office ■ Avoid last-minute changes to jigs and products through collaboration between design engineers and robot engineers ■ Minimize teaching time ■ Shorten the return on investment period for robot implementation *For more details, please download the PDF or feel free to contact us.

• Other industrial robots
• Software (middle, driver, security, etc.)

Case Study Utilizing Robot Simulation and OLP: What Welding Automation Challenges Did a Company Famous for High-Quality Outdoor Furniture Face?

We would like to introduce a case study of the implementation of "Visual Components Robotics OLP" at Berlin Gardens, a company famous for its high-quality outdoor furniture. The company faced challenges in automating its manufacturing processes, particularly in welding, as the demand for furniture continued to grow. With the introduction of this product, they were able to efficiently teach robots to perform complex tasks, such as welding aluminum fixtures to the bottoms of furniture, achieving stable production speed and quality. [Effects] - The programming of complex fixtures, which previously took 13 hours before production could start, is now completed in just under 3 hours. - This has led to a reduction in labor costs. - Overall agility in the company's operations has also improved. *For more details, please download the PDF or feel free to contact us.

• simulator

Examples of promoting innovation in forestry machinery and improving productivity!

We would like to introduce a case study of the implementation of "Visual Components Robotics OLP" at Ponsse, a company engaged in forestry machinery manufacturing. When the company introduced robotic welding into its operations, the complexity and time-consuming nature of robot teaching became a challenge. Teaching was conducted online using a teach pendant, and the robot had to be stopped for two weeks until the teaching was completed. After the implementation, the advantage is that robot teaching can be done outside of the production system, allowing for faster and easier progress without stopping production. [Case Overview] ■Challenges - The downtime of the robot until teaching was completed posed a risk of delays in the manufacturing process, significantly impacting costs. ■Results - Significant time savings, improved productivity and utilization of automation, streamlined robot station planning, and achieved faster and smoother robot teaching. *For more details, please download the PDF or feel free to contact us.

• simulator

Optimization of robot offline teaching workflows to enhance production efficiency!

We would like to introduce a case study of the implementation of "Visual Components OLP" at AMI Attachments, a manufacturer of heavy machinery attachments. The company faced the challenge of improving production efficiency while responding to changing market demands, as well as a shortage of welding technicians. By implementing this product, they were able to reduce teaching time by 70%, achieving improvements in both production efficiency and quality. [Case Overview] ■ Challenge: In low-volume, high-variety production, manual robot teaching is time-consuming and prone to errors. ■ Results - A customized training program enabled them to maximize the use of the product. - Remote and on-site calibration minimized downtime, allowing for smooth operations and accurate robot setup. *For more details, please download the PDF or feel free to contact us.

• simulator

Introducing a case where the speed and efficiency of proposal creation have dramatically improved!

We would like to introduce a case study on the implementation of "Visual Components" at Mazak UK, a company specializing in CNC machine tools. The company faced challenges in conveying the complexity of the PALLETECH system using traditional 2D drawings, which hindered smooth communication with customers and prolonged the time taken to make proposals. However, the introduction of our product dramatically changed the situation. It not only significantly reduced project planning and execution time, improving efficiency, but also strengthened engagement with customers, leading to new achievements. 【Case Overview】 ■Challenges - It was difficult to explain and incorporate the advanced and flexible modular production system "PALLETECH system" into planning. ■Results - Previously, it took about 4 days to create a proposal, but now it can be done in about 30 minutes. *For more details, please download the PDF or feel free to contact us.

• simulator

Quickly and easily teach industrial robots! Shorten the investment recovery period for robot implementation.

Our company uses offline teaching (OLP) software compatible with various equipment to quickly and easily teach industrial robots. By utilizing 3D CAD data, we create efficient and error-free programs that cater to various processes such as welding, painting, and cutting. Seamless collaboration between design engineers and robot engineers allows us to avoid last-minute changes to jigs, tools, and products. 【Features】 ■ Robot teaching for all processes ■ Optimization of manufacturing processes ■ Minimization of teaching time ■ Reduction of the payback period for robot implementation *For more details, please download the PDF or feel free to contact us.

• Other industrial robots
• Software (middle, driver, security, etc.)

About ROAD: The "Roundtable on the Purpose of Autonomous Driving (ROAD)" conference series has evolved into a unique platform for interdis-ciplinary dialogue and international collaboration in the field of autonomous driving and autonomous mobility. Established in 2016, ROAD has brought together researchers, industry leaders, and public sector stakeholders from six countries across three continents. Based on this background, the upcoming ROAD 2026 will focus on "safety” and "driving AI”—the final pieces of the autonomous driving puzzle—to advance discussions on establishing the foundational framework for ensuring safety quality and obtaining regular-tory approval for autonomous driving. We also intend to discuss the international commonalities and differences regarding the social value brought about by ADS vehicles in terms of automation, intelligent driving, and mobility. We have established a total of five compelling themes for the Round Workshops, consisting of two topics related to “The Last Piece” and three topics related to the social value of ADS, as shown below. 1) Round Workshop 1 - Horizons of E2E Driving AI → Can AI Understand the Driving Environment Like Humans? 2) Round Workshop 2 - Beyond the Unknown: Safety Cases for ADS → Can Safety Ever Be Proven? 3) Round Workshop 3 - Envisioning Smart City Mobility → Can Smart City Mobility Bridge the Mobility Divide? 4) Round Workshop 4 - Logistics Enhancement Through Autonomous Tracking → Will Logistics Become Human-Free? 5) Round Workshop 5 - The Evolution of CASE: SDV/AIDV → Will Automakers Become AI Companies? We hope you’ll all join us!

[Speaker] Masashi Sugita, President and CEO of LEX Style Co., Ltd. [Key Lecture Content] The power consumption of AI servers used in data centers has significantly increased, making traditional air cooling insufficient for operation. This lecture will organize the requirements for introducing a liquid cooling system into air-cooled data centers and explain the implementation method using free cooling with specific design details. When handling high-density AI servers, energy efficiency is required, and the widely used energy efficiency indicator, as well as the Ministry of Economy, Trade and Industry's Resource and Energy Agency's PUE regulation of "1.3 or below," will be explained along with practical operational insights. [Lecture Items] 1. Heat dissipation methods for high-density, high-heat AI servers 2. Basics and importance of PUE/pPUE 3. PUE regulation of "1.3 or below" by the Ministry of Economy, Trade and Industry's Resource and Energy Agency 4. AI server implementation and requirements for new data centers 5. Summary and future outlook 6. Q&A / Business card exchange

[Key Lecture Content] 1. Promotion of SAF Introduction Yasushi Yamashita, Director, Carbon Neutral Promotion Office, Aviation Bureau, Ministry of Land, Infrastructure, Transport and Tourism 1. Importance of SAF in the decarbonization of the aviation sector 2. Initiatives to promote the introduction of SAF 3. Q&A / Business card exchange 2. Japan Airlines' Challenge Towards Net Zero CO2 Emissions by 2050 Kazuki Hirotani, Group Leader, GX Planning Group, Sustainability Promotion Department, Japan Airlines Co., Ltd. 1. Introduction of our five initiatives for CO2 emission reduction 2. Initiatives for reducing fuel consumption (introduction of fuel-efficient aircraft, operational improvements) 3. Initiatives for fuel transition (sustainable aviation fuel SAF) 4. Initiatives for reductions outside the value chain (carbon credits, new removal technologies) 5. Initiatives to deepen collaboration with society 6. Q&A / Business card exchange

[Instructor] Yuichiro Kabushiki, Partner Lawyer at TMI Comprehensive Law Office [Key Lecture Content] With the spread of AI, there is growing attention on the civil liability of developers, providers, and users of AI. The Ministry of Economy, Trade and Industry will publish "Guidelines on the Interpretation and Application of Civil Liability in AI Utilization" in April 2026, and the Ministry of Justice will also establish an expert meeting to examine civil liability related to unauthorized use of images and voices generated by AI in the same month. As the full enforcement of the AI Promotion Act and the revision of AI guidelines are underway, it is necessary to design and operate governance based on the potential responsibilities that may arise retrospectively. In this seminar, based on the guidelines from the Ministry of Economy, Trade and Industry and drawing on litigation practice experience as a judge and lawyer, we will organize the basic framework for assessing civil liability and explain fundamental methods for designing and operating governance based on risk analysis. Furthermore, we will examine the framework for civil liability and the design and operation of governance using hypothetical cases that are likely to pose practical issues.

In this seminar, we will welcome Mr. Satoru Hayami from Waseda University, who will explain the latest trends in AI utilization in manufacturing, as well as the evolution of technologies such as agent-based AI and physical AI, and the opportunities and key points for practical application in the manufacturing industry. Furthermore, Mr. Tsubasa Shibata, representative of Next Opt, will introduce processes aimed at practical implementation, incorporating actual case studies from manufacturing sites. We hope you will envision the "potential for AI utilization in your company" and take home hints that will lead to improvements in your operations starting tomorrow. We look forward to your participation.