MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202631084280 A) filed by Dr. Subir Kumar Das on July 09, 2026, for Adaptive Oscillatory Gradient Reacquisition (aogr)-Based Autonomous Navigation Method And System.
Inventors include Dr. Subir Kumar Das; Dr. Sanjib Kumar Saren; Dr. Partha Pratim Sarkar; Dr. Ajoy Kumar Dutta; Mr. Abhishek Banerjee; and Mr. Sudipta Banerjee.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a bio-inspired autonomous navigation method and system employing an Adaptive Oscillatory Gradient Reacquisition (AOGR) framework for improving navigation reliability in unknown or partially known environments. The disclosed invention introduces a supervisory navigation intelligence architecture configured to continuously monitor navigation quality, detect Navigation Degradation Events (NDEs), estimate a Navigation Confidence Index (NCI), and initiate adaptive exploratory navigation whenever degradation in goal-directed navigation is detected. The AOGR framework comprises an AOGR Engine that supervises a primary Navigation Guidance Layer and temporarily assumes control during navigation degradation by generating structured adaptive oscillatory exploration for reacquiring a viable navigation gradient. Upon successful gradient reacquisition, the AOGR Engine automatically restores navigation control to the primary guidance mechanism, thereby enabling uninterrupted autonomous navigation without requiring complete prior knowledge of the operating environment or computationally intensive global replanning. The disclosed framework is modular and may be integrated with various navigation guidance mechanisms, including Artificial Potential Field (APF)-based navigation and other gradient-based or equivalent navigation approaches. The invention is applicable to autonomous mobile platforms operating in indoor, outdoor, industrial, agricultural, healthcare, logistics, inspection, surveillance, search-and-rescue, and other autonomous robotic applications requiring robust, adaptive, and computationally efficient navigation. The invention provides improved navigation robustness, enhanced recovery from navigation degradation events, reduced computational complexity, platform-independent implementation, and improved operational reliability across diverse autonomous systems.
Disclaimer: Curated by HT Syndication.
