Gesture-Controlled Robotic Gripper

About The Project

In this project, we designed and constructed a robotic gripper with three degrees of freedom, controlled using hand gestures. This robotic gripper finds many applications in industrial and automation processes. The robot takes input through visual feed and processes it using Computer Vision. This processed data is sent to an Arduino Uno microcontroller via serial communication, which in turn controls the servo motors. The entire assembly was modelled, and 3D printed.
A sophisticated gear mechanism was used to control the claws of the gripper. There is always a scope for improvement of this project. The following are a few improvements that can further increase the capabilities of this robot:
1. Including a feedback loop using sensors or cameras near the gripper to increase efficiency.
2. Using object detection to make the robot completely autonomous.

Those who are interested can have a look at the complete documentation of the project here.


Meet The Team

Mentors

team-member

Akshay Manoj

Mechatronics
team-member

Vatsalya Rajaram

Computer Vision and Embedded

Mentees

Ajay Yogendra

Computer vision and Electronics

He designed the code for capturing and processing gestures and also established serial communication between Arduino Uno and control computer.

Alapan Sen

Mechanical and controls, Electronics Team

He designed the freecad model and the circuit diagram as well as simulated it on the Proteus software.

Ayashkanta Mishra

Mechanical and controls

He was involved in designing the freecad model and also built the complete physical(working) model at his home.

Diya Chodnekar

Computer Vision

She assisted in designing the code for capturing and processing the hand gesturesbeing received through camera.

Harmeet Singh

Mechanical and controls, Electronics Team

He assisted in designing the circuit diagram and simulation on the Proteus Software.