MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122485 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy Vishwavidyapeeth; Malla Reddy University; Malla Reddy Engineering College For Women; and Malla Reddy College Of Engineering And Technology, Medchal-Malkajgiri, Telangana, on Dec. 5, 2025, for 'self-calibrating robotic arm using shape-memory-based kinematic compensation.'
Inventor(s) include Dr P Ravinder Reddy; Mr. Rayana Vikas Goud; Dr. G. Bala Krishna; Ms. Satishkumar Budireddy; Sushma; and Ms. S. C. Sireesha.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a self-calibrating robotic arm structure, which is exactly used to maintain the long-term movement accuracy by the shape memory-based compensation in the kinematic. Over time, robotic arms will slowly drift out of line by thermal expansion, fatigue in the materials, vibration and mechanical wear. There is a need for traditional calibration processes where the process involves manual intervention or external sensors or periodic maintenance, causing operation downtime along with dependency on technicians. To overcome these limitations, the proposed robotic arm incorporates the use of shape-memory alloy (SMA) elements in the kinematic joints of the arm in order to restore the alignment autonomously and also for correcting the positioning deviations. The system is continuously monitoring the deviation of joint displacement internal strain or encoder sensors, as a deviation signal as long as the deviation exceeds a predefined value. The moment it is thus detected, the SMA compensation module is triggered and the alloy can return to its preset shape and re-align the joint without interrupting operations. This allows for real-time calibration or Scheduled calibration without the involvement of the human. Additionally, the system also has a predictive compensation strategy, which uses accumulated deviation information to avoid drift in the future and makes the motion more reliable. The invention has great impact in reducing maintenance and increasing precision in industrial automation, surgical robots, in hazardous environment operations, in micro-manufacturing and space applications, where manual calibration is not possible. The design is modular and can be integrated with existing architectural designs of robots and with minimal structural modification. Thus, the invention is an efficient and autonomous way of maintaining kinematic accuracy, which makes it a reliable and cost-effective method as well as a self-sustaining way to carry out long-term robotic operations."
Disclaimer: Curated by HT Syndication.
