[Free! Monthly Webinar] Quick Explanation Session: Picking Case Study Video | April 24, 2023 | Two sessions, each 60 minutes

Revamping the original based on on-site experience. Strengthening the advantages of a "semi-complete system" and supporting the automation concepts for end users, equipment manufacturers, and system integrators.

Quick Setup: Wiring and assembly possible on the same day of delivery. By combining with peripheral devices as a "semi-complete system," robot systems tailored to specific applications can be completed in a short time, and changes such as switching tasks can be accommodated flexibly. ■ Reflects experience from over 500 actual work tests at customer sites in Japan ■ High-rigidity aluminum frame manufactured by SUS that maximizes robot capabilities, surpassing competitors ■ Standardization makes it easier to conceptualize, reducing design time and costs ■ Compact, assembly-type aluminum frame for easy transport and relocation

• Transport and handling robots

Providing robot solutions with three engines: know-how cultivated from approximately 500 domestic picking tests, simulations, and actual testing facilities.

Different Starting Points: ■ Conducting picking tests while developing various hands, primarily in the domestic food sector, with over 500 achievements. ■ Comprehensive implementation know-how, an application center as a real machine testing facility, and unique simulation technology. ■ These serve as three engines that persistently solve customer challenges. Implementation Know-How ■ Leading the spread of robots in new markets such as food in Japan. ■ Emphasizing the processes of simulation and real machine testing to deliver reliable results. ■ Know-how rooted in experience is the most important engine for successful implementation. Simulation ■ Unique simulation technology backed by approximately 20 years of maturation of RobotStudio and over 8,000 installations of parallel link systems. ■ Precise and practical parameter settings enable nearly 100% accuracy in pre-verifying processing capabilities. Real Machine Testing Facility ■ An application center focused on collaborative solutions with users and partners. ■ Actively sharing real machine testing, hand development, and know-how. ■ Conducting promotional seminars and other activities to invigorate the market as needed. *For more details, please refer to the catalog or feel free to contact us.

• Food Processing Equipment

The particle visualization technology developed under our brand "ViEST" has a very high level of detection sensitivity, capable of visualizing the suspended or adhered states of micro and nano-sized particles in real time. We are engaged in the sale of visualization systems and contract services for evaluation (investigating particles and airflow in production processes, inside and outside manufacturing equipment, evaluating the performance of cleaning products, proposing yield improvement measures, etc.) both domestically and internationally. In manufacturing environments, invisible fine foreign substances, dust generation, particle adhesion due to static electricity, and airflow disturbances can cause quality defects and reduced yield. Our company clarifies these contamination factors through visualization technology and provides consistent support from identifying the source of the problem to considering and confirming improvement measures. Do you have any of the following concerns? - Unable to identify the cause of foreign matter contamination - Want to check airflow and cleanliness in clean rooms - Want to understand dust generation from manufacturing equipment and transport systems - Want to reduce particle adhesion to films and substrates - Want to improve contamination that leads to reduced yield

[Lecturers] KPMG Consulting Co., Ltd. Executive Officer, Partner Kazushige Ikeda KPMG Consulting Co., Ltd. Technology Consulting Senior Consultant Kakeru Ota [Key Lecture Content] In recent years, AI has evolved beyond information processing in digital spaces, such as text generation and image recognition, to become Physical AI that perceives, judges, and acts in the real world by connecting with sensors, robots, vehicles, industrial equipment, and more. Physical AI is increasingly important across a wide range of fields, including manufacturing, as it addresses industrial challenges such as labor shortages, skill transfer, replacement of hazardous work, and productivity improvement. Additionally, foundational models, semiconductors, sensors, actuators, and robotics-related technologies that support Physical AI are becoming increasingly significant from the perspective of economic security, particularly in terms of responding to supply chain risks and securing and managing critical technologies. This lecture will organize the basic concepts and key technologies of Physical AI, discuss its potential applications in manufacturing and industrial sectors, outline practical considerations for implementation and operation, and explain the actions that companies should take moving forward.

[Instructor] Nobuyuki Oonaka, CEO of Bridge Inc., Project Designer [Key Lecture Content] "Why do new businesses often come to a halt?" The cause may not be a lack of ideas or talent. Through supporting over 300 new businesses and business developments, I have learned that what separates success from failure is "the structure of the organization"—specifically, how decisions are made, how dialogue occurs, and how assumptions are shared. In this seminar, based on the book "How to Create Self-Driving New Businesses" (Shoei-sha), we will analyze the "communication problems" that cause new businesses to stop as a structure. The goal is to develop a common language within the organization to identify "where we are stuck and what actions we should take." I will share how to use the "self-driving map" in practical terms.

In this seminar, we will focus on the challenges of sensitivity reduction and separation performance in GC/MS analysis, and introduce the latest technologies and practical know-how that can help solve these issues. This time, we will also have a presentation from LECO Japan, who will discuss the benefits and applications of high-resolution and high-separation analysis with real examples. Additionally, Restek will introduce column technologies effective for improving sensitivity in trace analysis. Restek: We will explain the inert performance of the RMX GC column, which is effective for improving sensitivity in trace analysis, and the column technology that suppresses adsorption loss in low concentration areas, along with actual measurement data. LECO: We will present the latest application examples of comprehensive detection of trace components using high-sensitivity GC-TOFMS and RMX columns, including environmental, aroma, and material analysis. This content is recommended for anyone involved in multi-component analysis using GC/MS, whether for target or non-target analysis, as well as those who are just starting out. We will provide clear explanations suitable for beginners in GC/MS, so please join us.

[Speaker] Hidetaka Ishibashi, Director of IoT Planning Department, KDDI Corporation [Key Lecture Content] Against the backdrop of declining birth rates, an aging population, and labor shortages, the nature of mobility is reaching a significant turning point. KDDI has established a "Mobility Control Center" to integratively support new mobility solutions such as autonomous vehicles, drones, and robots, based on the knowledge and infrastructure cultivated through the operation of connected cars. In this lecture, we will focus on the communication and monitoring functions that are essential for the social implementation of each mobility solution, discussing the challenges and efforts towards their resolution, as well as the future vision that KDDI aims for. [Lecture Items] 1. Efforts and history of connected cars 2. Development and initiatives for new mobility 3. Importance of remote monitoring in a mobility society 4. Challenges in communication and monitoring and efforts towards solutions 5. Future vision of the mobility society that KDDI aims for 6. Q&A