| dc.description.abstract | This project presents the design and development of a robotic hand controlled through two
primary input methods: flex sensors and voice commands. The system aims to replicate
human hand movements and perform basic grasping actions using sensor-based inputs,
making it particularly useful in applications such as assistive technology, prosthetics, and
remote manipulation. The flex sensor component of the system captures finger bending
motions from a wearable glove, translating real-time human hand gestures into corresponding
robotic finger movements. Meanwhile, the voice control system utilizes a speech recognition
module to interpret predefined voice commands, enabling hands-free operation for specific
tasks. An Arduino microcontroller processes inputs from both control methods, directing
servo motors that actuate the robotic fingers. This dual-input approach enhances the flexibility
and usability of the robotic hand, making it adaptable to various user needs and environments.
The integration of sensor data with precise motor control demonstrates a cost-effective and
efficient solution in the field of human-machine interaction and automation. | en_US |
