Inspiration
I was inspired by the challenges seniors face living independently and the anxiety families feel about their safety, so I wanted to create a solution that combines physical assistance, real-time monitoring, and peace of mind.
What it does
CARY is a low, sturdy, self-righting robot that assists seniors after falls, guided by modular home sensors and a wearable button. It provides two-way communication, prompts the senior for help decisions, and alerts family if inactivity is detected.
How we built it
I imagined the user journey of a senior, picturing their needs through their daily life and what happens when they fall down unexpectedly.
Challenges we ran into
Designing a full-system solution that works seamlessly together and adapts to various home layouts and real-life scenarios.
Accomplishments that we're proud of
I created a cohesive ecosystem of robot, wearable, and sensors, showing a complete solution rather than just a single device.
What we learned
While it may seem that robots can easily replace humans, there are still many limitations that require human intervention and oversight.
What's next for CARY
I aim to refine the self-righting mechanism, enhance AI for fall prediction, optimize the wearable and sensor integration, and move toward a pilot program in real homes to validate safety, usability, and impact.
Built With
- imu
- lidar
- opencv
- ros2
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