Company: Robotic Technologies of Tennessee, LLC
Patent Number: 12697712
Title: Method for precise, intuitive positioning of robotic welding machine
Innovation in Robotic Welding
This invention introduces a novel method designed to make robot programming more intuitive for complex manufacturing tasks such as welding. It greatly enhances manual guiding processes for robot positioning, offering critical improvements for operations that require fine resolution and strict control of a robot end effector. By placing a specialized motion sensor directly inline with specific joints of a serial manipulator, the operator can physically guide the robotic arm with high precision. The system reads these input movements and translates them into controlled output tool motion. This technological advancement allows operators to manage the equipment directly and smoothly, bypassing the limitations and steep learning curves often associated with traditional pendant-based teaching methods.
Swanson Reed Tennessee Patent of the Month for September 2026
This invention was awarded the Patent of the Month for the state of Tennessee for September 2026 by Swanson Reed due to its substantial contribution to automated manufacturing and industrial safety. Robotic Technologies of Tennessee, LLC has developed a practical solution to longstanding programming inefficiencies in the metalworking sector. The ability to integrate this intuitive control methodology, particularly on non-spherical wrist robots, significantly boosts precision in rigorous environments like energy infrastructure and naval shipbuilding. Swanson Reed recognizes this patent for its forward-thinking approach to collaborative robotics and its measurable impact on industrial productivity and worker empowerment.
R&D Tax Credit Practical Applications
The practical application of this intuitive positioning technology presents distinct opportunities for businesses to claim the Research and Development Tax Credit in the United States. To qualify for this incentive, research activities must meet a four-part test that includes eliminating technical uncertainty through a structured process of experimentation. Manufacturers integrating these advanced cobot systems into their production lines will need to conduct iterative testing to calibrate the inline sensors and adapt the robotic positioning algorithms for unique fabrication requirements. The engineering efforts required to evaluate joint weld quality, modify system feedback loops, and optimize the human-machine interface for custom material types all represent qualified research activities. The systematic trial and error needed to successfully implement and scale this patented technology firmly establishes eligibility for federal and state R&D tax incentives.
