Notice of Participation in the 2025 International Robot Exhibition from December 3 (Wednesday) to December 6 (Saturday), 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.

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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.

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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.)

[Lecturer] Professor Hiroyuki Kato, Faculty of Sociology, Department of Social Policy Science, Hosei University [Key Lecture Content] In this lecture, I will introduce perspectives on the shipbuilding industry. Japan's shipbuilding industry has a long history and can be seen as a "microcosm" of Japanese industry. Within about ten years after World War II, Japan's shipbuilding industry became the world leader in construction volume, and at one point, the construction volume of the seven major domestic companies accounted for more than half of the world's share. Although it has since been surpassed in construction volume by latecomers such as South Korea and China, it still maintains a certain level of competitiveness. Reflecting on the path taken by the shipbuilding industry, which serves as a "microcosm," the reasons for its continued strength, and the challenges it currently faces may provide insights when considering the future of various Japanese industries. [Lecture Items] 1. Characteristics of the shipbuilding industry 2. Shipyards seen through photos and videos 3. The shipbuilding industry depicted in films 4. Why is it still strong? 5. Points to consider for future developments 6. Q&A / Business card exchange

[Speaker] Maho Tanaka, Manager, Strategy Group, Business Consulting Division, Accenture Japan Ltd. [Key Lecture Content] AI is evolving beyond a mere tool for operational efficiency to become an entity responsible for execution, including information acquisition, comparison, judgment, contracts, and purchasing. As actions initiated by dialogues with general-purpose AI chatbots like ChatGPT become mainstream, corporate information is not reaching users directly, and the structure where decision-making and execution are completed on AI is rapidly expanding. In this lecture, based on this irreversible change, we will organize the reality that the competitive axis of companies is shifting from "appealing to consumers" to "how AI understands, selects, and executes." Furthermore, we will explain the key points of strategic transformation that management should consider in the era of agent-based AI, from organizing the information structure cited by AI to designing touchpoints that reclaim the initiative for judgment and execution for the company. [Lecture Items] 1. The impact of AI on information search and access 2. The impact on corporate marketing and communication 3. The ideal direction for corporate communication in the AI era 4. Introduction of our company’s case studies 5. Q&A session

The overall theme of the webinar is: "The Two Barriers Hindering Automation in Food Factories" "Case Studies on Access Control and AI Image Recognition" Our company will be the first to present. For more details, please visit our website!

[Speaker] Yuki Kobayashi, CEO/Co-Founder of MESON Inc. [Key Lecture Content] In this presentation, we will explore "AI glasses," which have recently begun to attract significant attention as the next-generation user interface, explaining their essence and business impact. We will clarify the differences from previous XR devices and organize representative products currently available, while interpreting why AI glasses are becoming a realistic option against the backdrop of the evolution of generative AI and changes in societal acceptance. Furthermore, through market expansion and case studies primarily overseas, we will demonstrate why the years 2026 to 2028 will be a turning point for technology and business, and discuss the issues and risks that Japanese companies should currently address. [Lecture Items] 1. What are AI glasses? 2. Why AI glasses now? 3. Changes happening globally 4. How AI glasses will change work 5. Experience design as a decisive factor 6. The turning point for Japanese companies (Closing) 7. Q&A / Business card exchange *The content of the lecture may change based on the latest trends.

[Speaker] Andy Mochizuki, Director, Deloitte Tohmatsu TMT Division / Monitor Deloitte [Key Lecture Content] In an era where thinking is commoditized by AI, the source of value is determined not by "information" but by "existence," that is, "the meaning of your being." This course will start from the environmental changes surrounding the AI era, exploring the concept of redesigning work in a purpose-driven manner, the type of thinking required in the AI era (QADI cycle), and delving into the absolute differentiating factor that only humans possess—"embodiment." We will update our sense of purpose in the AI era and our collaborative relationship with AI, initiating a transformation to "live anew" from here. [Lecture Items] 1. Mapping Environmental Changes - "From the Era of Information Asymmetry to the Era of Existence Asymmetry" 2. Redesigning Work in a "Purpose-Driven" Manner 3. The "Thinking Models" Necessary in the AI Era 4. The "Body" as an Absolute Differentiating Factor 5. How to "Live Anew" in the Coming AI Era 6. Q&A / Business Card Exchange