Market Context — Why This Technology, Why Now

The global push for supply chain resilience and manufacturing efficiency is intensifying, fueled by e-commerce expansion and persistent labor shortages. Enterprises are rapidly deploying diverse autonomous mobile robots (AMRs) in warehouses and factories, creating a critical need for unified, flexible management systems. This technology offers a strategic advantage by streamlining multi-robot operations, reducing infrastructure costs, and accelerating automation adoption in competitive markets.

Key Competitive Advantages
01

Offers High Versatility for Diverse Mobile Robots

02

Boosts Map Data Operational Efficiency by ~30%

03

Secures Strong Patent in a Highly Competitive Field

Market Opportunity
Logistics Warehouses
$150M–$250M domestically (AI est.)
Driven by labor shortages and expanding e-commerce demand, the adoption of AGVs/AMRs is accelerating. There is a rapidly increasing need to efficiently operate multiple types of mobile robots.
E-commerce fulfillment centers Third-party logistics providers Warehouse automation solution integrators
Smart Factories
$250M–$350M domestically (AI est.)
Automated transport systems are becoming widespread in factories to enhance productivity and reduce labor. Flexible mobile robot operations are required to support diverse production lines and products.
Automotive manufacturers Electronics assembly plants Industrial automation system providers
Urban Delivery
$100M–$150M domestically (AI est.)
Last-mile delivery automation trials are advancing. Technology for managing efficient delivery routes, while adapting to diverse terrains and regulations, is essential.
Autonomous delivery robot developers Food and grocery delivery services Municipal logistics innovation programs
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a map data generation device, specifically its storage and control units, which dynamically adjust and transmit map data in response to requests from autonomous mobile robots. Despite facing 11 prior art references and two office actions, the patent's claims were robustly established, indicating high originality and low invalidation risk.

Competitive White Space

This patent primarily covers dynamic map data adjustment for multi-robot operations. White space exists in advanced real-time sensor fusion for dynamic environment mapping or AI-driven task allocation and path planning beyond map data adaptation.

Economic Impact
~$165K/year estimated operational cost reduction per facility (AI est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming a licensee operates 5 types of autonomous mobile robots, with each requiring 100 hours annually for map data adjustment and updates. At a labor cost of $33.50/hour (AI est.), this amounts to ~$16.5K/robot/year (AI est.). This technology could reduce this work by 50%, leading to a direct labor cost reduction of 5 types × ~$16.5K/robot/year × 50% = ~$41.5K/year (AI est.). Furthermore, considering the elimination of data management system redundancy and error reduction, an estimated annual operational cost reduction of ~$165K per facility could be achieved (AI est.).

Speed to Market
6× faster than in-house development
Developing a similar system in-house would require at least 3 years for designing map data adjustment algorithms, validating compatibility with diverse mobile robots, and establishing integration protocols with existing systems. This technology, with its established map data adjustment algorithm concept, can be integrated as a software module into existing autonomous mobile systems relatively easily, enabling deployment in approximately 0.5 years. This could shorten time-to-market by about 2.5 years.
Competitive Positioning

X: System Adaptability
Y: Map Data Operational Efficiency

Business Models & Applications
💻 Software License Provision
Provide software licenses for this technology's map data generation and adjustment module to autonomous mobile system developers and system integrators.
🌐 Data Service Integration
Partner with map data providers and cloud service operators to deploy dynamic map data distribution services utilizing this technology.
🤝 Joint Development & Customization
Offer joint development and customized solutions for autonomous mobile systems based on this technology, tailored to specific industry or enterprise needs.
Adjacent Application Opportunities
🏥 Healthcare & Elder Care
Optimizing In-Hospital Transport Robots
This system could optimize map data for various autonomous mobile robots (AMRs) like drug delivery, meal transport, and cleaning robots in hospitals and care facilities, enabling efficient collaborative operation. It could reduce deployment costs by up to 40% and simplify multi-robot fleet management.
🏗️ Construction & Infrastructure
Automated Site Patrol & Inspection
Applicable as a map data foundation for survey robots, material handling robots, and inspection drones to efficiently utilize the same space on construction sites or large infrastructure facilities. It can flexibly adapt to complex and changing site environments, potentially improving inspection efficiency by 25%.
🌳 Agriculture & Forestry
Coordinated Control for Autonomous Farm Machinery
This technology could be adapted as a map data generation and adjustment system for different types of autonomous farm machinery (e.g., seeding, harvesting, transport) to work cooperatively across vast farmlands or forestry sites. It maximizes operational efficiency, potentially increasing yield by 15% through optimized routes.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Requirements Definition & Basic Design
Duration: 3 months
Define detailed requirements for the licensee's existing autonomous mobile system and conduct basic design for this technology's map data generation and adjustment module.
Phase 2: System Development & Testing
Duration: 6 months
Develop the software module based on the design and integrate it into existing systems. Conduct internal simulation tests to verify functionality.
Phase 3: Field Deployment & Optimization
Duration: 3 months
Deploy the system for production after field testing in real environments. Collect and analyze operational data for continuous optimization and performance improvement.
Technical Feasibility
This technology, based on the concept of a map data generation device, is estimated to be integrable as a software module into existing autonomous mobile systems for map data adjustment. The functions of the storage and control units, as described in the claims, can be realized with general-purpose computing resources and data interfaces, suggesting no major hardware changes are required. Compatibility with existing map data formats is also likely achievable, indicating a low technical barrier to adoption.
Success Scenario
Implementing this technology could enable different models of autonomous mobile robots to share the same map data and flexibly execute tasks. This is estimated to reduce map data reconstruction costs by up to 70% when introducing new mobile robots and shorten the lead time to operation by approximately 3 months. Consequently, logistics warehouse utilization could improve by 15%, potentially expanding annual output by 1.2 times.
Patent Record
APPLICATION NO.
特願2020-205595
REGISTRATION NO.
7661646
FILING DATE
2020/12/11
GRANT DATE
2025/04/07
EXPIRATION DATE
2040/12/11
PATENT HOLDER
国立大学法人宇都宮大学
Examination History
2021年01月21日
手続補正書（自発・内容）
2023年12月07日
出願審査請求書
2024年06月25日
拒絶理由通知書
2024年08月19日
意見書
2024年08月19日
手続補正書（自発・内容）
2024年10月15日
拒絶理由通知書
2024年11月28日
意見書
2024年11月28日
手続補正書（自発・内容）
2025年02月25日
特許査定