Abstract
Regardless the abundance of technological robotic equipment’s present in the form of auto- mated Mechanical Robotic Arm, most of the citizens in India are not able to use those robots in their regular day to day life. This paper talks about the Intelligent robotic Arm (IRA) which is able to cook food dishes in an ordinary home environment. The robotic arm recognizes the utensils and ingredients required for the particular recipe. For object detection we have developed a system using OpenCV and Python which helps the robotic arm to recognize the correct ingredient and pick and drop it to appropriate utensil for cooking the required recipe. It involves automated tasks which the arm has to perform while commands are given to it for making the particular recipe. Our motivation is to help brilliant supplier robots that work by and large human environments ,automating continuous errands. In quest for this objective, we follow the universal apply autonomy worldview, in which savvy observation and control, are blended in with ubiquitous processing. By misusing sensors and effectors in its condition, a mechanical can work extra confused obligations other than turning out to be excessively perplexing itself. Following this understanding, we have built up a supplier automated that works independently in a sensor-prepared kitchen. The mechanical gains from exhibition, and performs refined assignments, working together with the system of gadgets in its condition. We record on the structure, usage, and utilization of this framework, which is unreservedly accessible for use, and improvement through others, in the examination network.
Highlights
Detecting objects and specific elements in real world by any robot itself is still a crucial task
The problem we define here is to design and develop an intelligent Mechanical Robotic Arm which could be used in regular home environment for the purpose of cooking meal
Our base approach to achieve the goal includes [a]developing a low budget affordable robotic arm and [b] system capable of recognizing and detecting objects and ingredients used in cooking meal with the use of Image Processing, Computer vision, Artificial Intelligence and Machine Learning. [c] Robotic arm capable of picking and dropping the ingredients recognized by the system
Summary
Detecting objects and specific elements in real world by any robot itself is still a crucial task. Our base approach to achieve the goal includes [a]developing a low budget affordable robotic arm and [b] system capable of recognizing and detecting objects and ingredients used in cooking meal with the use of Image Processing, Computer vision, Artificial Intelligence and Machine Learning. Robotics are manipulated with that real-world data, more the data is used, more will be the performance of robot improves Along these things by consolidating man-made brainpower, AI and profound learning perspectives, the completely mechanized and shrewd robot can prepare home-made supper with no human intercession. It will learn plans and cook them for you
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