MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641111488 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 17, 2026, for Voice Enabled Ai Robo.
Inventors include M. Jaideep; Dr. Papiya Dutta; Dr. Karthik Raja; and Dr Ramya Mohan.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: THE FIELD OF INVENTION The present invention relates to the field of robotics, artificial intelligence, and embedded systems. More specifically, it pertains to a voice-enabled robotic system operating on Edge AI architecture for real-time data processing, autonomous interaction, and intelligent decision-making without dependence on cloud computing. The invention falls under the domains of • Consumer robotics • Edge computing systems • Artificial intelligence and machine learning • Human-robot interaction • Smart automation technologies BACKGROUND OF THE INVENTION Conventional robotic systems often depend on centralized cloud servers for processing Al tasks such as speech recognition, object detection, and decision-making. This dependency leads to latency, privacy concerns, and limited functionality in areas with poor internet connectivity. Many existing robots are bulky, expensive, and restricted to industrial or research environments. Consumer-level robots may lack advanced Al capabilities or real-time responsiveness due to limited onboard processing power.Additionally, traditional interaction methods such as buttons or remote controls reduce ease of use and accessibility. There is a growing demand for intelligent robots capable of: • Real-time edge processing • Natural voice interaction • Autonomous movement • Secure local data handling • Compact and portable design Therefore, a need exists for a compact, energy-efficient, voice-enabled Edge Al robotic system capable of operating independently while delivering intelligent performance. SUMMARY OF THE INVENTION The invention introduces a Voice-Enabled Edge Al Robo integrating: • Edge AT processing unit • Voice recognition system • Vision-based object detection • Autonomous navigation capability • Compact mobile structure The robot processes visual and audio data locally using on embedded Al controller (such as Raspberry Pi or equivalent edge processor). This ensures: • Low latency • Improved privacy • Faster response time or. E SH • Reduced network dependency
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