Brain-Controlled Robotic Hand with Adaptive AI & Haptic Feedback
Granted Indian Registered Design No. 504827-001 for adaptive neural-interfaced bionics
A brain-interfaced bionic hand architecture combining adaptive artificial intelligence with micro-actuated haptic feedback, granted registered design protection by the Patent Office, Government of India.
Issued by The Patent Office, Government of India under the Designs Act, 2000. Certificate issued 27/08/2026. Listed with SRM Institute of Science and Technology.
The Fundamental Engineering Problem
Traditional myoelectric prosthetics suffer from high rejection rates due to lack of tactile feedback, high latency, and rigid pre-programmed grasp patterns that fail on everyday asymmetrical objects.
Critical Engineering Constraints:
Prosthetic rejection rates exceed 40% when the distal terminal device exceeds 450 grams. Mechanical linkages and micro-servos had to be tightly balanced within human-scale anatomical boundaries.
For prosthetic touch feedback to feel natural, total closed-loop latency (sensor reading -> adaptive grasp threshold -> haptic skin stimulation) must remain strictly below 100 milliseconds.
Electrophysiological signals (EMG/EEG) suffer from severe electrode impedance variation, sweat drift, and 50Hz/60Hz electromagnetic mains hum requiring strict hardware filtering.
Closed-Loop Adaptive Bionic Control Flow
Engineered an anthropomorphic 5-finger articulated mechanical structure coupled with closed-loop adaptive grip pressure regulation and cutaneous haptic feedback actuators to inform the user of grasp contact and slip.
Adaptive Neural Kinematics & Haptic Telemetry
Simulate 5-axis tendon displacement, dynamic EMG neural impulse patterns, and closed-loop haptic force feedback across distinct functional grip postures.
My Specific Contribution to this System
Co-invented the structural design, formulated the adaptive control flow architecture, and successfully led documentation and filing with the Indian Patent Office in collaboration with SRMIST.
Modeled 5-finger articulated linkages in CAD, ensuring multi-axis flexion with tendon guides and compliant silicone finger pads for tactile grip stability.
Integrated tactile pressure transducers with SPI analog-to-digital converters to sample grip force at 200Hz, ensuring real-time grasp compliance.
Coded an embedded state machine in C++ that distinguishes between exploratory touch, steady grasp, and involuntary drop slip, automatically increasing grip force upon slip detection.
Drafted patent claims, structural orthogonality diagrams, and technical novelties in partnership with SRMIST. Successfully granted by the Patent Office, Government of India (Design No. 504827-001; Certificate issued 27/08/2026).
Empirical Findings & Registered Outcomes
- Granted Indian Patent Design No. 504827-001 under the Designs Act 2000 (Issued 27/08/2026).
- Demonstrated tactile grip modulation preventing fragile object crushing in prototype tests.
- Tactile haptic feedback successfully communicated contact onset within 65ms latency.
- •Currently validated at the structural design and bench prototype level; long-term clinical multi-patient trials on amputees are required for commercial prosthetic certification.
- •Myoelectric EMG signal acquisition is sensitive to skin sweating and electrode shifting during continuous vigorous activity.
- •Development of custom low-noise differential analog front-ends (AFE) for continuous bio-signal acquisition.
- •Lightweight carbon-fiber additive manufacturing for weight reduction down to sub-350g.
- •Collaborative clinical research with rehabilitation institutions.