Industrial robotic arms have transformed the manufacturing environment by providing efficient and precise automation solutions. These sophisticated machines, powered by innovative technology, are capable of performing difficult tasks with speed and accuracy. The project described here is related to industrial robotics because it focuses on the creation of a gesture-controlled robotic arm. This project aims to build a robotic arm that can be controlled by gestures utilising MPU6050 sensors and flex sensors. By interpreting gestures acquired by strategically placed sensors, the robotic arm is designed to emulate human arm movements. The MPU6050 sensors are placed on the hand, near the elbow, and near the shoulder, allowing the system to capture the arm’s orientation and movement in real time. The gripper mechanism of the robotic arm is controlled by a flex sensor on the index finger. The central control unit is the Arduino UNO Rev3 SMD microcontroller, which is in charge of analyzing sensor input and translating it into matching robotic arm movements. The suggested system intends to provide a user-friendly and intuitive method for robotic arm control, with possible applications in a variety of domains such as industrial automation, medical support, and prosthetics.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-25134 |
Date | January 2023 |
Creators | Venturi, Sai Siri Sree, Bojja, Poorna Teja |
Publisher | Blekinge Tekniska Högskola, Institutionen för matematik och naturvetenskap |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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