The speed with which new techniques killed the market is nothing compared to the speed with which talented researchers find creative ways to use them, train them, even turn them into things without which we cannot live without. One such researcher MIT Mad Fellow Alexander Hatet is a graduate student, who is pursuing a double master’s degree in calculation and architectural studies in Electrical Engineering and Computer Science.
Kyaw takes technologies such as artificial intelligence, promoted reality and robotics, and combines them with gesture, speech and object recognition to create human-AI workflows that have the ability to interact with our manufactured environment, how we buy, design complex structures, and make material things.
One of his latest innovations is Curator AI, for which he and his MIT graduate student partners took the first prize – $ 26,000 in OpenEI products and cash – in AI Build of MIT AI Build: With final presentations held in Hacathan New York City for a week in generic voice AI Solutions, MIT. While working with, Richa Gupta (Architecture) and Bradley Bunch, Nidhish Sagar and Michael won – all won from the MIT Department of Electrical Engineering and Computer Science (EECS).
Curator AI is designed to streamline online furniture shopping by providing reference-inconceivable product recommendations using AI and AR. The platform uses AR to take the dimensions of a room with windows, doors and locations of existing furniture. Users can then talk to software what they want new decorations, and the system will use a vision-language AI model to search and display various options that match the user’s signals and the visual features of the room.
“Shopkeepers can choose from suggested options, imagine products in AR, and use the natural language to ask for modifications in the search, which makes the furniture selection process more comfortable, efficient and personal,” says Qav. “The problem we are trying to solve is that most people do not know where to start while presenting a room, so we developed curator AI, which provides smart, relevant recommendations based on your looks like your room.” Although the curator AI was developed for furniture purchases, it can be expanded for use in other markets.
Another example of Kyaw’s work is estimated, a product that he and three other graduate students built in March 2024 during the hackathon of the Mit Slone Product Tech Conference. The focus of that competition was to help small businesses; Why and the team decided to do their work on a painting company in Cambridge, which employs 10 people. The estimate uses AR and a commodity AI technology to take the exact measurement of a room and generates a detailed cost estimate for a renewal and/or paint job. It also takes advantage of liberal AI to display images of rooms or rooms as they can appear after painting or renewed, and generates an invoice after the project is completed.
The team won the hackathon and $ 5,000 cash. Kyaw’s teammates were Guilume Alegre, May Khin and Anna Methi, all of whom graduated from MIT in 2024, with a master’s degree in business analytics.
In April, Qawa will speak a TEDX at its Alma Mater, Cornell University, in which he will describe curator AI, estimates and other projects that use AI, AR and robotics for design and construction of things.
One of these is how this unlogue is – a huge art sculpture made of Ash logs who stands in the Cornell campus – came about.
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Reaction-based mixed mixed reality and gesture recognition for the unlogue tower construction
Video: Alexander HTET Kyaw
The unlogue represents the possibility that the structures can be made directly from an entire log, rather than the log trip is converted into a lumber mill or two-four-four, then sent to a wholesaler or retailer. It is a good representation of the desire of why to use construction materials in a more durable way. The work was published by a paper on this work, just for the “feedback-based mixed reality fabrication for the case of the unlogue Tower”, Published by the Quav, Leslie Lok, Lawson Spencer, and Sasa Zivakovic, which is in the 5th International Conference proceedings on computational design and robotic construction, in January 2024.
Another system integrates Kyaw developed physics simulation, gesture recognition, and AR to design active bending structures manufactured with bamboo poles. The gesture accreditation allows users to manipulate the digital bamboo module in AR, and physics simulation is integrated to imagine how the bamboo bends and where the bamboo poles have to be attached to the methods that form a stable structure. The work appeared in the 41st education and research proceedings in Computer Aided Architectural Design in Europe, August 2023, “Active bending in physics-based mixed reality: design and manufacture of a reconstructive modular bamboo system.”
Kyaws placed a similar idea using a bamboo module to create deployable structures for Mitdesignx, MIT Mad Program, which selects promising startups and provides coaching and funding to launch them. Kyaw has ever established bendshelters, which have been prefined for refugees, to build modular bamboo shelters and community places and Myanmar, for individuals displaced in their home country.
“Where I grew up, in Myanmar, I have seen the effects of day-to-day effects of climate change and excessive poverty,” Qav. “There is a huge refugee crisis in the country, and I want to think about how I can contribute back to my community.”
His work with bendshelters has been recognized by Mit Sandbox, PKG Social Innovation Challenge and Amazon Robotics Award for Social Good.
At MIT, Qawa Professor Neil Gesshenfeld is collaborating with the Director of the Center for Bits and Atomic, and PhD student Miana Smith can create speech recognition, 3D generative AI, and to use robotic weapons to create a workflow to create a workflow. Kyaw holds a bachelor’s degree in architecture and computer science from Cornell. Last year, he was awarded the SJA Fellowship from Steve Jobs Archive, providing funds for projects at technology and art intersection.
“I enjoy discovering different types of technologies to create designs and things,” Quv says. “Being a part of the MAD, to think of me how to add all my work, and help to clarify my intentions. My research vision is to design and develop those systems and products that enable natural interactions between humans, machines and the world around us.”
