MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611107872 A) filed by Maharishi Markandeshwar Deemed To Be University on September 08, 2026, for Hybrid Slam-Svm Approach For Intelligent Indoor Navigation And Autonomous Floor Cleaning.
Inventors include Ritu Aggarwal; and Eshaan Aggarwal.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: An intelligent indoor navigation and autonomous floor cleaning system utilizing a hybrid Simultaneous Localization and Mapping (SLAM) and Support Vector Machine (SVM) architecture is disclosed. The system comprises a mobile robotic chassis equipped with an Arduino-compatible Raspberry Pi microcontroller unit, an array of infrared (IR) proximity sensors, a digital camera module, and motorized drive wheels. A cleaning assembly integrated onto the chassis includes a vacuum suction motor and a mop attachment connected to an onboard water reservoir. The SLAM module continuously processes real-time sensor and vision data to generate an occupancy grid map and estimate spatial positioning. The SVM machine learning classifier evaluates spatial features to detect static and dynamic obstacles, allowing adaptive path planning and obstacle avoidance during cleaning operations. The hybrid architecture achieves a navigation accuracy of 98.9%, an obstacle avoidance accuracy of 97.2%, and a processing speed of 34 frames per second. Operational metrics and map visualizations are transmitted wirelessly via Wi-Fi or Bluetooth modules to an interactive remote user interface dashboard.
Disclaimer: Curated by HT Syndication.
