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CMU Researchers Develop FRIDA: An Artificial Intelligence (AI) Powered Robotics Framework That Can Collaborate With Humans To Paint And Create Beautiful Art | CPT PPP Coverage

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CMU Researchers Develop FRIDA: An Artificial Intelligence (AI) Powered Robotics Framework That Can Collaborate With Humans To Paint And Create Beautiful Art appeared on www.marktechpost.com by MarkTechPost.

Artificial Intelligence has been the talk of the town ever since it was introduced. It has contributed to almost every single domain with its incredible performance. From automating tasks to quick decision-making, AI is everywhere. It is transforming industries and making the lives of people easier. One such advancement is ChatGPT, which is taking the world by storm. With its ability to answer questions just like a human, it already has more than a million users and is simplifying lives. With all the AI innovations simulating human knowledge and intelligence, now comes the artistic side of AI. A robot named FRIDA has been developed, efficiently associating with humans to generate some amazing art. 

Creating art or painting is basically expressing ideas and thoughts with the help of a paintbrush and multiple colors. The elements like colors, tone, and texture are all combined to portray patterns and represent an idea. AI art is produced based on different algorithms and the assistance of Artificial Intelligence. FRIDA is capable of generating such an art. It is a machine in the shape of a robotic arm with a paintbrush attached to it. Based on human commands and assistance, FRIDA paints beautiful pictures on the canvas. 

FRIDA, short for Frameworks and Robotics Initiative for Developing Arts, computationally models innovative painting tasks and provides visually appealing and thoughtful art. FRIDA has been developed by students of Carnegie Mellon University’s Robotics Institute, namely Peter Schaldenbrand, James McCann, and Jean Oh, along with the help of RI faculty members. Named after the famous Mexican artist Frida Kahlo, FRIDA works on the concept of real-to-simulation-to-real and keeps on improvising and optimizing the art based on the set goals. 

FRIDA works by the user input, a simple text description of the painting that the user wants FRIDA to draw. The user can also input some other related arts to help FRIDA get an idea of what the results should be inspired by. Apart from that, this robotic system can also create a representation based on the uploaded photograph. FRIDA uses Artificial Intelligence models like the currently emerging tools like ChatGPT and DALL-E, which generate text and images. It uses Machine Learning to observe and analyze its performance after simulating how it would use the brush to paint a drawing. 

The team behind the research has mentioned that FRIDA is the new way to intersect a robot and creativity, unlike the older robots that only created art using AI but not with any human collaboration. The current methods of creating art with the help of Artificial Intelligence work in a sequential manner without the concept of re-analysis and optimization. Unlike those, FRIDA keeps accessing itself and continues to plan and re-analyze its steps with great optimization. 

This new artist in the town is a great innovation and seems promising for future creative collaborations. It has several capabilities, such as helping people engage in arts or even automating monotonous tasks. With its constant evolution feature, the FRIDA robotic arm can greatly help humans by providing them with different ways to express their creative side.  


Check out the Paper, Github and Project. All Credit For This Research Goes To the Researchers on This Project. Also, don’t forget to join our 13k+ ML SubRedditDiscord Channel, and Email Newsletter, where we share the latest AI research news, cool AI projects, and more.


Tanya Malhotra is a final year undergrad from the University of Petroleum & Energy Studies, Dehradun, pursuing BTech in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning.
She is a Data Science enthusiast with good analytical and critical thinking, along with an ardent interest in acquiring new skills, leading groups, and managing work in an organized manner.


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