Glove-Controlled Wireless 3D-Printed Robotic Hand

Description

I built a glove controlled, wireless 3D printed robotic hand to mirror finger motion in real time. The goal was to prove that a low cost wearable interface could drive believable motion without complex mechanics or expensive components. I wanted something I could iterate on quickly, so I focused on a clean signal path and a hand design that could be reprinted in hours. This was a solo build, so the design needed to be simple enough to assemble and debug without extra hands, while still delivering a convincing demo.

At the core, I used flex sensors in a glove to capture finger bends and an Arduino in C and C++ to translate those readings into servo angles. A compact RF module sent the values to the hand, where micro servos drove each finger joint. I added calibration routines to map sensor ranges to servo limits and applied smoothing to reduce jitter. The goal was to keep latency low while still filtering noise. I also tested different response curves so the motion felt natural rather than robotic and abrupt.

The mechanical side focused on speed of iteration. I designed the hand for 3D printing with modular finger segments, simple tendon routing, and accessible servo placement. This made it easy to swap parts, adjust tolerances, and compare different geometries. Power management was part of the build, not an afterthought, so I tested battery sizing, wiring layout, and basic protection. I also learned the tradeoffs between torque and speed, between stiffness and smooth motion, and between compactness and serviceability. Each print and test cycle taught me something about friction, joint wear, and how small mechanical changes affect control quality.

The result is a low latency prototype that validates the core idea and clearly exposes the next steps. It is stable enough to demonstrate and flexible enough to evolve. If I take it further, I would add higher resolution sensors, closed loop feedback, and stronger materials for joints and tendons. This project gave me a full stack view of a mechatronics system, from signal capture to motion output, and a repeatable process for turning rough ideas into working hardware.