RENATUS ROBOTICS K.K.
R&D of a large-scale automated warehouse system utilizing optimized fleet control for resolving the logistics crisis
As of August,2024
City | Year of Establishment | Founder |
---|---|---|
Tokyo | 2022 | Takuma Osawa |
Partner VC | Latest round of Fundraising | Valuation |
---|---|---|
Dawn Capital | - | - |
- Contact Information: 03-6821-1673
- Website:RENATUS ROBOTICS K.K.
Program name
Deep-Tech Startups Support Program
Research theme
R&D of a large-scale automated warehouse system utilizing optimized fleet control for resolving the logistics crisis
Business Plan
Alongside the growth of e-commerce, the large-scale growth of warehouses is an urgent matter. On the other hand, automation is necessary as large warehouses lead to an increase in worker walking distance. However, existing robots have a critical flaw of severe congestion occurring when multiple units are operating simultaneously. In order to resolve this issue, this project will lead to the development of RENATUS Myria, a large-scale automated warehouse system utilizing optimized fleet control.
Research Outline
In this R&D effort, RENATUS Myria, an automated warehouse system which implements the simultaneous operation of multiple shuttle robots in any given floor, will be developed. By realizing a new system with significantly higher throughput and scalability compared to existing systems, RENATUS Myria will aim to resolve the severe labor shortage issue in the warehouse industry. The R&D items for RENATUS Myria are as follows:
- [1] In a physical environment, verify that 2 robots (per floor) can share and operate on the same floor through the proprietary dispatch algorithm.
- [2] After pre-operation inspections, verify that the shuttle robot can operate continuously for 8 hours without malfunctions or errors.
- [3] With numerical experimentation, verify that the real-time control of 3000 shuttle robots is possible through the algorithm.
- [4] Keep the time delay between the dispatch software's route planning and the actual shuttle to under 1 second.
Phase | Business Area/Field | Research Period | Research Grant Amount |
---|---|---|---|
STS | Energy & Infrastructure | 2024FY | JPY 41 million |
International collaborative technology demonstration
Countries/Regions | Collaborative activity outline |
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United States |
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Last Updated : May 22, 2025