Tokyo, Central District
・Real-time Digital Twin Generation and Utilization Multiple LiDAR sensors installed on infrastructure and Edge Computing are fully utilized to generate real-time digital twins. This technology allows for advanced data analysis with AI, such as human movement analysis, object detection, spatial risk analysis, etc. The results are being used for fully infrastructure-based autonomous driving in robotics and micro-mobility. ・The New Concept of Fully Infrastructure-based Autonomous Driving A novel concept for autonomous robot driving is being developed, where the responsibility for "eyes" (sensors) and "brain" (edge computing) is shifted from the robot itself to the surrounding infrastructure. Robots can have a bird's eye view of areas usually not visible alone, improving safety, allowing for complete traffic control of multiple devices, and making smooth robotic movement possible. More sensorless and computer-free robotics per robot lowers the cost of high-quality autonomous driving. This approach enables future mobility with robot and human coexistence. ・ Contributing to a Decarbonized Society and Tackling Challenges Facing Mobility Our technology helps build a sustainable social infrastructure to address modern societal issues such as decarbonization and the last mile in mobility. Real-time data consolidation and analysis can expand new mobility options, including optimization of mobility sharing, and introduce autonomous vehicles and safe robots into suburban areas. We aim to benefit all communities by partnering in building future smart cities.
The importance of small-scale mobility and robots is growing as we strive to achieve a decarbonized society and solve last-mile transportation challenges.
However, their small size makes them prone to blind spots, and challenges exist such as mutual interference when operating multiple units.
Equipping robots with rich sensor arrays to solve these issues increases the per-unit introduction cost, hindering widespread adoption.
Our company adopts a novel approach: leveraging spatial data obtained in real-time from infrastructure-installed sensors for autonomous operation.
Our research focuses on achieving processing speeds sufficient for deployment in environments like factories and warehouses, where high-speed moving objects exist, and developing practical technologies for implementation.
| Representative |
Daiki Hasegawa Graduated from the Graduate School of Engineering at Kyoto University. After working as an engineer at Tokyo Electric Power Company, he joined the consulting firm Deloitte, where he focused on management reform for companies in western Japan. As an executive officer at AI startup ExaWizards, he expanded the company's western Japan business and grew it into a business division with a scale of 1 billion yen in the western Japan market. He has experience leading the company's listing on Mothers in December 2021 and company-wide product development. He specializes in launching DeepTech businesses, and as COO of Hyper Digital Twin, he is promoting the social implementation of university seeds. |
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| Childhood Dream | I grew up in a free and laissez-faire environment, so I don't think I had a clear dream. However, there was a time when I thought it sounded amazing and I wanted to be a CEO! I liked fun and exciting things, so I wanted the freedom to do what I liked. |
| Influential People, Things, and Events | People: "I discovered a fun world thanks to the talented managers and engineers of startups." Things: "AI/generative AI has heightened my interest in the essential value of human beings and what it means to be human." Events: "The Great East Japan Earthquake in March 2011 made me realize that nothing remains stable or unchanging." |
| Motivation, Goals, and Ideal World | Technology is evolving at an incredible speed every day. We want to make the world a more interesting and better place by making the most of this evolution. To that end, we will respect the uniqueness and excellence of our technology and engineers, and proceed with social implementation with pride in being the only one in the world. Specifically, we aim to have hyper digital twin solutions become social infrastructure. By doing so, small robots outdoors and indoors, and places where people and robots have been working awkwardly until now, will be able to work together smoothly at the next level, realizing safe and highly efficient autonomous driving, and we will be one step closer to realizing a decarbonized society by utilizing low-carbon mobility and supporting the labor shortage and elderly people in Japan's super-aging era. We will expand our business in order to quickly achieve a state where our technology, as described above, contributes to society and creates value. In addition, personally, I also aim to create a world where many of Japan's technologies are converted into value by linking university technology and researcher research, which are often seen as far removed from normal business, with the needs and challenges of society. There are many companies where it is difficult to start a business based on seeds and it is difficult to make money. If we can launch a business with an understanding of both technology and social issues and needs, I believe we can create an organization that solves good problems with good technology and makes a good living. To make this world a reality, we are aiming for the overwhelming success of Hyper Digital Twin, a university-based venture! |
| Company Name | Hyper Digital Twins Co., Ltd. |
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| Representative Name | Daiki Hasegawa |
| Address | 2nd Floor, Nyu Building, 1-17 Nihonbashi 2-chome, Chuo-ku, Tokyo |
| Official Site and Social Media |
Official Website |
| Founding Date | May 6, 2022 |
| Awards |
"Calibration of real-time LIDAR data with static 3D image," Best Poster Award, IEEE CCNC 2024, Jan 8, 2024. BEST DEMO AWARD RUNNER UP, IEEE CCNC 2023, Jan 10, 2023 |