The global shift towards Industry 4.0 and smart manufacturing demands highly adaptable automation solutions that can handle diverse tasks with precision. Escalating labor costs and the need for greater operational efficiency are driving investments in advanced robotics. This technology provides a critical component for next-generation robots, enabling them to perform complex manipulations in unstructured environments, crucial for competitive differentiation and meeting evolving consumer demands for customized products.
Enables on-site adjustment of measurement range and sensitivity, significantly improving adaptability for high-mix, low-volume production and diverse robotic tasks.
Achieves high-precision force measurement by maintaining the deformed state of the strained body, applicable across broad uses like load cells, robot hands, and robot arms.
Secures patentability after thorough examination against 4 prior art documents, providing a robust and stable right. Offers long-term market exclusivity until 2042, supporting sustained business growth.
This patent protects a force sensor device and method that can dynamically change measurement range and sensitivity by deforming a strained body, as well as its application in load cells, robot hands, and robot arms. With 19 claims, it provides a broad and robust scope, having successfully navigated examination challenges to secure a stable and difficult-to-invalidate right.
Adjacent white space includes developing advanced AI/ML algorithms for real-time force data interpretation and predictive maintenance, or integrating this sensor with novel haptic feedback systems for remote operation. Further IP could also be built around new materials for the deformable body to achieve even greater durability or miniaturization.
Implementing this technology could significantly reduce the frequency of sensor exchanges and readjustments when robot tasks change. For example, if 5 robots on one manufacturing line switch to different tasks, and this technology reduces the time required for conventional sensor exchange and adjustment by 50% (assuming 1 hour per robot, and a worker cost of ~$35/hour (AI est.)), over 250 operating days per year, an annual reduction of approximately ~$20K (AI est.) could be expected. Including reduced defect rates and productivity gains from minimized downtime, the total potential cost reduction could reach ~$150K per year (AI est.).
X: Field Adaptability & Flexibility
Y: Measurement Precision & Reliability