MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202611110125 A) filed by Dr B R Ambedkar National Institute Of Technology on September 14, 2026, for Self-Learning Adaptive Grip Hand Exoskeleton With A Multi-Layer And Real-Time Muscle-Tactile Sensing Fusion.
Inventors include Richa Sharma; Ks Nagla; Ravi Verma; Anil Kumar Yadav; and Rohit Singh.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: A self-learning, adaptive grip hand exoskeleton integrated with multi-layer, real-time muscle and tactile sensing fusion is disclosed. The system includes electromyography (EMG) sensors to capture user motor intent, tactile and pressure sensors to monitor surface contact and slip, and force sensors to measure active grip force. An actuation system drives individual finger mechanisms based on real-time control signals. A multi-modal sensing unit fuses physiological muscle data with physical tactile feedback, executing a self-learning closed-loop algorithm that dynamically adapts and modulates grip force to provide safe, stable, and context-aware grasping assistance.
Disclaimer: Curated by HT Syndication.
