MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641042570 A) filed by Cmr College Of Engineering & Technology, Hyderabad, Telangana, on April 2, for 'bluetooth voice-commanded robotic vehicle with ultrasonic obstacle detection for assistive mobility applications.'
Inventor(s) include B. Venkateshwar Rao; P. Mahesh Babu; R. Sathiyakala; S. Vaishnavi; K. Ravi Kiran; C. Jathin; K. Tharun; M. Dharamader; G. Ashwitha; K. Pranavi; and K. Lahari.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "A voice-operated vehicular automation system (VOCA) is disclosed, comprising an Arduino Uno microcontroller, an HC-05 Bluetooth wireless communication module, an L298N dual H-bridge motor driver, two DC gear motors mounted within a lightweight wooden chassis, and an HC-SR04 ultrasonic distance sensor mounted upon a servo-actuated angular scanning assembly. The system receives natural language voice commands wirelessly from a paired smartphone device running a voice recognition application, interprets the recognized command as an ASCII serial character code transmitted to the Arduino Uno via the HC-05 Bluetooth module, and executes the corresponding directional motor control routine to achieve forward, reverse, left-turn, right-turn, or full-stop vehicle motion. Simultaneously and independently, the ultrasonic obstacle avoidance subsystem continuously measures the distance between the vehicle and any detected forward obstacles by triggering ultrasonic pulse transmissions, measuring echo return times, and calculating object distances in real time; when the measured distance falls below a preconfigured minimum safety threshold of approximately 20 centimeters, the microcontroller firmware automatically overrides any concurrent forward motion command and halts the vehicle to prevent collision. The VOCA system is specifically designed to provide accessible, hands-free mobility assistance to individuals with physical disabilities, elderly users requiring indoor transport support, and professionals operating in environments where manual vehicle control is impractical. The invention further encompasses alternative embodiments incorporating standalone hardware voice recognition modules for smartphone-independent operation and cloud-connected speech recognition backends for expanded command vocabulary and multi-language support, establishing a scalable, low-cost, open-architecture platform for assistive robotics, smart home automation, and educational embedded systems applications."
Disclaimer: Curated by HT Syndication.
