AutoChair is an AI-powered smart wheelchair from AivoN Innovations, designed to help people move through indoor spaces with greater confidence, safety, and independence.
For many elderly and mobility-impaired people, moving from one room to another still requires caregiver support, careful supervision, or a device that was never designed for tight indoor spaces.
Daily movement often depends on a caregiver being available at the right moment.
Narrow corridors, furniture, and thresholds make indoor navigation difficult to manage safely.
Imported smart mobility systems are often expensive, while basic chairs lack intelligence.
AutoChair combines AI-assisted navigation, route learning, obstacle awareness, and multimodal controls to make indoor movement safer, smarter, and more independent.
Remembers frequently used indoor paths such as bedroom, kitchen, living room, and hallway navigation.
Continuously scans surroundings to help avoid collisions and support safer movement decisions.
Supports voice, touch, and joystick-based interaction for different accessibility needs.
Designed around narrow pathways, tight turns, compact rooms, and real indoor layouts commonly found in Indian households.
Balances intelligent navigation with user control, comfort, confidence, and caregiver visibility.
Being developed with accessibility and affordability in mind so intelligent mobility is available to more people.
Designed for homes, assisted living spaces, care centers, Hospitals, NGOs and clinical environments.
Encoder-based indoor path learning.
Records movement data from wheel encoders across repeated journeys, building a personalized indoor map. Once a route is saved, reaching a known destination like bedroom, kitchen, bathroom ; triggers from a single voice command or touchscreen tap, eliminating constant manual steering.
Multi-sensor real-time scanning.
Ultrasonic sensors positioned at front, side, and rear continuously measure distance to surrounding objects, helping detect furniture, walls, people, pets, and unexpected obstacles.. When an obstacle enters the threshold zone like 50cm to slow, 20cm to stop, 10cm emergency halt ; the system responds automatically like trigger speed reduction, path adjustment, or stopping behaviour when required before contact occurs, even in cluttered or low-light rooms.
Three input systems, one seamless interface.
The analog joystick handles precise directional control. The 7-inch touchscreen panel shows live mode, speed, battery percentage, and sensor alerts. The I2S microphone module captures offline voice commands processed by Vosk (no internet required). Users switch between all three freely without restarting the system.
Layered hardware and software protection.
Two physical emergency stop buttons ( one user-side, one caregiver-side ) trigger instant motor cutoff within 200ms. Automatic braking activates independently of the user when sensors detect critical proximity. All safety responses are interrupt-driven, meaning they override every other command without exception.
Ergonomic hardware designed for extended use.
Adjustable armrests, a reclining backrest mechanism, and a memory foam seat cushion are configured for extended indoor sitting. Seat width accommodates S to XL body types. The design avoids the bulky, medicalized look of hospital equipment so users feel comfortable using it at home daily.
Visibility without interference.
The touchscreen dashboard displays real-time battery level, active mode, speed, and obstacle proximity ( visible to anyone assisting the user). Future updates will extend this to a companion app, giving family members optional remote visibility into movement activity, safety events, and battery status without overriding user control.
From a single command to safe motion five layers work together in real time to move you through indoor space with confidence.
Voice / Touch / Joystick
Real-time environment awareness
The intelligent core
Precise, controlled movement
Safe, independent motion
Multi-sensor fusion for broader indoor awareness and safer obstacle response.
Designed around compact onboard compute for real-time routing and control decisions.
Path memory helps the system improve repeated indoor journeys over time.
Accessible command inputs reduce physical effort and support different user preferences.
From a global mobility challenge to an Indian-first innovation journey.
People worldwide live with some form of disability, making assistive mobility one of the most underserved needs globally.
WHO Global Report on Assistive Technology (2023)Of those who need assistive technology globally actually have access to it, leaving over a billion people without adequate support.
WHO Global Report on Assistive Technology (2023)People with disabilities in India alone, the majority of whom lack access to intelligent or affordable mobility solutions.
Census of India (2011)Elderly people in India who may benefit from safer, more independent indoor mobility support.
UNFPA India Ageing Report (2023)Projected global users who may require mobility, ageing-support, rehabilitation, or assistive technology solutions over the coming decades.
Driven by ageing populations, disability prevalence, rehabilitation demand, and increasing life expectancy worldwide.Non-dilutive grant secured through Sharda Launchpad under DST NIDHI and DPIIT-backed innovation support.
Funding secured to accelerate AutoChair hardware prototyping, testing, and product validation.Current Technology Readiness Level. Core concept validated with hardware prototype actively under development.
NASA / ESA Technology Readiness Level FrameworkAutoChair is being developed carefully, with safety, affordability, and real-world indoor usability guiding every technical decision.
Hardware prototype in active development. Core motor control and obstacle detection systems under testing.
Non-dilutive support secured to accelerate hardware and software development.
Physical and software components are being refined for indoor navigation tests.
Key innovations in route learning, safety logic, and multimodal control are being documented toward patent protection.
Improve indoor route accuracy through repeated prototype testing.
Explore connections with doors, lights, and appliances.
Build optional monitoring workflows for families and care teams.
Prepare for conversations with hospitals, NGOs, and assistive care programs.
AivoN Innovations Pvt. Ltd. is a DPIIT-recognized assistive technology startup founded at Sharda University, Greater Noida.
We are developing AutoChair, an AI-powered smart wheelchair designed for real Indian homes and everyday indoor environments.
Led by a multidisciplinary team with advisory support and a shared vision for accessible innovation, our mission is to make intelligent indoor mobility safer, more independent, and more accessible.
AutoChair is supported through the DST NIDHI innovation ecosystem and incubated at Sharda Launchpad.
Greater Noida
Government-backed startup
AI-powered smart wheelchair
Incubated at Sharda Launchpad
Vision, product direction, startup leadership.
Prototype development and technical architecture.
Market research and outreach strategy.
Research guidance and strategic advisory.
