[Online Event on 10/5] Special benefits with RealSense! Kazuhiko Oguchi from our company will present on the development methods for autonomous mobile robots (AMR) using ROS2!

A must-see for those who need ROS solutions! You will understand the reasons and necessities for migrating from ROS 1 to ROS 2.

◆Introduction As ROS 1-based robotic systems become outdated or unable to meet the evolving needs of new industrial applications, the transition of robotic systems to ROS 2 is considered a practical next step in the evolution of robotic system design. The purpose of this guide is to address the following challenges related to the transition from ROS 1 to ROS 2: ● Reasons for transitioning from ROS 1 to ROS 2 ● Who needs to consider transitioning to ROS 2 ● Challenges of the transition ● Solutions and recommendations needed for the transition ● Transitioning Gazebo ROS ● Examples of migrating ROS 2 C++ source code

• Industrial PCs

Accelerate work efficiency and development with real-time ROS 2 solutions.

◆ROScube-I ADLINK's ROScube-I is a real-time ROS 2 compatible robot controller based on Intel Xeon 9th generation Intel Core i7/i3 and 8th generation Intel Core i5 processors, featuring excellent I/O connectivity that supports various sensors and actuators for unlimited robot applications. It also supports Intel VPU and NVIDIA GPU cards for AI algorithm and inference computations. ◆ROS Starter Kit - Neuron The ADLINK ROS Starter Kit features flexible connectivity with a wide range of I/O ports and support for AI computing platforms. Additionally, compatibility with open-source ROS/ROS 2 provides full access to open-source application libraries for robot control, including vision, navigation, and motion control, facilitating the rapid realization of ROS/ROS 2 functionalities.

• Industrial PCs

Embedded real-time robot controller equipped with 11th generation Intel Core processor.

ADLINK's ROScube Pico TGL is a real-time ROS 2-compatible robot controller based on the 11th generation Intel Core i7/i5/i3 processors and Intel Iris Xe graphics, featuring excellent I/O connectivity and supporting a wide variety of sensors and actuators for unlimited robotic applications. The ROScube Pico TGL fully complements resources developed with the ADLINK Neuron SDK, making it an ideal platform for developing industrial service robot applications such as autonomous mobile robots (AMRs) and autonomous mobile industrial robots (AMIRs).

• Industrial PCs

High-end AI-based autonomous applications

The ADLINK ROScube-X, equipped with the Xavier module, features an integrated Volta GPU and dual deep learning accelerators, along with various interfaces for robot system integration. The ROScube-X supports all resources developed using the NVIDIA JetPack SDK and ADLINK's Neuron SDK, making it particularly suitable for robotic applications that demand high AI computing with minimal power consumption.

• Industrial PCs

Embedded real-time robot controller equipped with Intel Xeon/Core processors.

ADLINK's ROScube-I is a real-time ROS 2-compatible robot controller based on Intel Xeon 9th generation Intel Core i7/i3 and 8th generation Intel Core i5 processors, featuring excellent I/O connectivity that supports various sensors. It supports a wide range of sensors and actuators for unlimited robotic applications. It also supports Intel VPU and NVIDIA GPU cards for AI algorithms and inference computations. The expansion box allows for convenient features and performance enhancements. ROScube-I is the ideal platform for developing industrial service robot applications such as autonomous mobile robots (AMR) and autonomous mobile industrial robots (AMIR), supporting all resources developed with the ADLINK Neuron SDK.

• Industrial PCs

[Speaker] Daisuke Imaizumi, President and CEO, Infra Commons Inc. [Key Lecture Content] The "Software-Defined Warfare" led by the U.S. Department of Defense is establishing a new model of warfare centered on AI, autonomous drones, and real-time command and control. This seminar will explain the U.S. strategic shifts, including the Replicator concept, JADC2, and the rise of Palantir and Anduril, while delving into the essence of the structural transformation facing Japan's defense industry. Through the establishment of Anduril's Japanese subsidiary, the "purely domestic drone" concept, and Palantir's data infrastructure and generative AI deployment, we will present how companies like Mitsubishi Heavy Industries, Kawasaki Heavy Industries, Fujitsu, and NEC can play a central role in Japan-U.S. collaboration. We will provide practical insights for existing industries to carve out paths as "co-creation partners" rather than "enemies" in the AI and software-driven era. This is a must-see lecture for rethinking the future of the defense industry.

[Key Lecture Content] 1. Quantum Technology Opening the Future: The Cutting Edge of Quantum Communication Promoted by the Ministry of Internal Affairs and Communications Yuichiro Yano, Deputy Director, Research Promotion Office, Technology Policy Division, International Strategy Bureau, Ministry of Internal Affairs and Communications 1. Basics of Quantum Technology and the Role of the Ministry of Internal Affairs and Communications 2. The Future Brought by Quantum Technology and Government Strategy 3. Research and Development and Quantum Security Bases 4. Social Implementation of Quantum Technology and Use Cases 5. International Initiatives and Future Prospects 6. Q&A / Business Card Exchange 2. The Value and Potential of Quantum Cryptography in the Post-Quantum Era Go Kato, Director, Quantum ICT Research Laboratory, Future ICT Research Institute, National Institute of Information and Communications Technology 1. The Origin of the Security of Quantum Cryptography 2. Current Status of Quantum Cryptography Devices 3. Current Issues and Potential of Quantum Cryptography Technology 4. Long-term Prospects for Future Technological Development of Quantum Cryptography 5. Q&A / Business Card Exchange

[Key Lecture Content] 1. Trends and Future Prospects of Physical AI Hiroshi Kondo, Deputy Director and Expert, Advanced Technology Lab, Japan Research Institute, Ltd. 1. What is Physical AI? 2. Technological trends of generative AI behind Physical AI 3. Examples and research trends of Physical AI 4. Future prospects 5. Q&A / Business card exchange 2. The Future Opened by Physical AI: NVIDIA's Initiatives and Prospects Ken Arai, Senior Manager, Robotics Developer Relations, Enterprise Business Division, NVIDIA Corporation 1. What does NVIDIA perceive as "Physical AI"? 2. Accelerated computing supporting technological evolution 3. The role of digital twins and the importance of synthetic data generation 4. Learning and inference of Physical AI models 5. Implementation examples of Physical AI 6. Q&A / Business card exchange

We are pleased to announce the archive distribution of our seminar titled "New Plan 'Mojitori Plus' Debuts! From Paper to Data! The First Step in Internal DX with Mojitori." 'Mojitori' allows you to convert text from photos, images, PDF files, and more into data, automatically inputting it into various fields in kintone. In this seminar, we will clearly explain the basic functions and usage of Mojitori. Additionally, we will provide detailed explanations about the Plus plan and the document-focused Mojitori, which were added in the major update in November. 【Recommended for】 - Those who are struggling with frequent transcription errors due to manual data entry. - Those who wish to digitize documents currently stored on paper. 【Timetable】 - Overview of Mojitori's functions - Overview of Mojitori Plus's functions - Details and pricing of each plan - Q&A session We look forward to your registration.

Innovating material development at the nano level through high-speed molecular simulation and machine learning With the advancement of molecular simulation technology, it has become possible to handle nano-level phenomena through computer simulations. Additionally, the combination of simulation and machine learning is expanding the range of possibilities. Schrödinger supports the enhancement of analytical power, efficiency, and reduction of development time in your material development using the latest molecular simulation and machine learning technologies, as well as techniques that integrate both. At our exhibition booth, specialized technicians will explain the latest technologies and answer questions from attendees. *During the event, we will hold a seminar at our booth. Theme: "Seeing Inside Materials at the Nano Level" - New Material Development through Simulation and Machine Learning We will introduce examples of predicting physical property values of various materials on a computer. You can experience each software firsthand. 【Exhibition Information】 Exhibition Name: nano tech Dates: January 28-30, 2026 Venue: Tokyo Big Sight, West Hall 3 Booth Number: 3W-H07 Exhibition Zone: [Materials] Material Zone