Market Context — Why This Technology, Why Now

The global push towards Industry 4.0 and smart manufacturing demands highly efficient, adaptable robotic systems. Companies are investing heavily in automation to counter rising labor costs and skilled worker shortages, aiming for production lines that handle complex tasks with greater precision and speed. This technology enables advanced multijoint robots in intricate operations, boosting operational efficiency and maintaining a competitive edge.

Key Competitive Advantages
01

Reduces inverse kinematics computation time by ~50% compared to conventional Lagrange multiplier methods, significantly improving robot cycle times and production efficiency.

02

Reduces engineer workload for parameter tuning by up to 30% through automatic virtual spring constant adjustment, easing operational burden and accelerating deployment.

03

Enables stable, high-precision displacement calculation for 7-axis+ multijoint robot arms, expanding application to complex tasks and confined spaces where analytical solutions are difficult.

Market Opportunity
Manufacturing (Precision Equipment & Automotive)
$450M–$500M globally (AI est.)
Increased demand in processes critical for multijoint robots, such as high-precision assembly, welding, and painting. Focus on improving production efficiency and stabilizing quality.
Automotive OEMs Precision machinery manufacturers Industrial robot integrators
Logistics & Warehousing (Picking & Sorting)
$150M–$250M globally (AI est.)
Urgent need for faster robot-driven picking and sorting due to severe labor shortages. The ability to handle complex item shapes adds significant value.
Warehouse automation providers E-commerce fulfillment centers Logistics robotics developers
Service Robotics (Medical & Care)
$100M–$150M globally (AI est.)
Precision control for multijoint robots is applicable in fields requiring human-robot collaboration and delicate movements, such as surgical assistance, rehabilitation, and patient care.
Medical device manufacturers Healthcare robotics developers Rehabilitation equipment providers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a specific solution for reducing computation time and simplifying parameter adjustment in robot arm inverse kinematics control, addressing critical industry challenges. Its robust claims, which overcame initial rejections through precise amendments, demonstrate clear differentiation from prior art, making it a strong and difficult-to-invalidate right.

Competitive White Space

This patent primarily covers the inverse kinematics algorithm. Licensees could develop additional IP in areas such as novel sensor integration for environmental perception, advanced human-robot interaction interfaces, or specialized end-effector designs for specific applications.

Economic Impact
~$150K/year estimated cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Reducing engineer workload for parameter adjustment by 20% for 5 robot engineers, with an estimated annual labor cost of ~$330K (AI est.) ($50M JPY / 150), could save ~$65K/year (AI est.). Additionally, a 5% increase in operating rate for a production line with ~$2.0M (AI est.) ($300M JPY / 150) in annual revenue could generate ~$100K/year (AI est.) in increased output. The total estimated economic impact is ~$165K/year (AI est.).

Speed to Market
6× faster than in-house development
This technology's numerical inverse kinematics algorithm, based on a virtual spring model and spring constant adjustment, is thoroughly disclosed in the patent specification, establishing a robust technical foundation. This significantly shortens development time compared to creating similar technology from scratch. Integration as a software module into existing robot control systems could enable a smooth transition from rapid prototype development to validation, leading to early market deployment.
Competitive Positioning

X: Multijoint Robot Compatibility
Y: Control Efficiency & Ease of Adjustment

Business Models & Applications
📝 Licensing Model
A model where revenue is generated by licensing the technology's algorithm to existing robot manufacturers and system integrators for integration into their products and solutions.
🤝 Joint Development & Solution Provision Model
This model creates high-value revenue by jointly developing custom robot control systems, with this technology at its core, tailored to specific industry or customer needs, and offering them as solutions.
📦 Software Module Sales Model
Aims for broad customer reach and continuous revenue by packaging this technology as a software module and selling it for existing robot control platforms and development environments.
Adjacent Application Opportunities
🏥 医療・手術支援
High-Precision Surgical Robot Control
This technology could be adapted for surgical assistance robots, enabling stable control of complex multijoint arms for delicate and high-speed movements. It has the potential to accurately reflect surgeon intentions, contributing to shorter operation times and reduced patient burden.
🚀 宇宙・特殊環境作業
Precision Control for Remote Robots
Expected to be utilized in remote-controlled robot operations in special environments like space or disaster sites, where human access is impossible. The system could enable multijoint arms to respond precisely and rapidly to remote commands, enhancing operational efficiency and safety in extreme conditions.
🎨 エンターテインメント・アート
Expressive Robot Arm Performance
In entertainment fields requiring smooth and complex movements, such as theme park attractions, stage performances, or robot art, this technology could enable robot arm control that achieves more human-like or fantastical expressions.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technical Validation & Requirements Definition
Duration: 3 months
Analyze the licensee's existing robot systems and operational environment to define the technology's scope and specific requirements. Conduct effect prediction and technical suitability verification through simulations.
Phase 2: Prototype Development & Integration Testing
Duration: 6 months
Integrate the algorithm into existing robot control software to develop a prototype system. Perform integrated testing and performance evaluation using actual robots, followed by initial optimization.
Phase 3: Production Deployment & Operational Optimization
Duration: 3 months
Conduct final adjustments based on test results and proceed with deployment into the production environment. Monitor operational status post-deployment and perform continuous data analysis for further performance improvement and cost reduction.
Technical Feasibility
This technology is provided as a numerical inverse kinematics algorithm for the robot's 'control unit,' making it highly adaptable for integration into existing multijoint robot systems via software updates or control module additions. The virtual spring model and spring constant adjustment mechanism described in the patent specification are achievable with general-purpose computational processing, suggesting high technical compatibility for deployment without significant hardware changes or capital investment.
Success Scenario
Implementing this technology could reduce the average cycle time of multijoint robots on a manufacturing line by 10%. This is estimated to increase overall production line output by 1.1 times annually. Furthermore, reduced engineer workload for robot readjustment could reallocate approximately ~$65K (AI est.) in annual labor costs to other high-value tasks.
Patent Record
APPLICATION NO.
特願2020-102529
REGISTRATION NO.
7525146
FILING DATE
2020/06/12
GRANT DATE
2024/07/22
EXPIRATION DATE
2040/06/12
PATENT HOLDER
東京都公立大学法人
Examination History
2023年04月20日
出願審査請求書
2024年02月13日
拒絶理由通知書
2024年04月11日
手続補正書（自発・内容）
2024年04月11日
意見書
2024年07月09日
特許査定