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What would it be like if we could see our movement? Illuminate (2023, Chelsi Alise Cocking) is an interactive art installation in whic…
MIT City Science is working with HafenCity University to develop digital tools to enable more livable communities. In one project, the team…
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning cha…
Research in dynamic tools, mix users (citizens, workers) amenities, services, and land use, with the goal of promoting sustainable developm…
36 Days Of Type is an initiative that invites creatives to create their version of the letters and numbers of the Latin alphabet, one…
This project transforms light into physical artifacts. I developed a custom software systems to capture images of sunlight in th…
Working with leading neuroscientist Richard Davidson and the Healthy Minds Institute, we are developing objective biomarkers to interpret a…
Photorythms: a computational art-based inquiry of portrait photographyPhotorythms investigates whether computational methods such as facial…
Although lidar is widely used for mapping the 3D geometry of surfaces, the technology has historically been challenged by specular, or mirr…
Continuing the work of Liquid Movies, we introduce Liquid Learning, an extension for not simply recommending videos but encouraging people …
X-AR is an augmented reality (AR) system that gives humans "X-Ray Vision" X-AR is a new AR headset that enables users to see things th…
Many tasks are not easily defined and/or too complex for supervised machine learning approaches. For these reasons, a technique known as&nb…
Navigation for autonomous UAVS (unmanned aerial vehicles) is a complex problem and physical field testing of associated tasks introduces a …
Depending on the operational environment of an autonomous system, a great deal of perceptual uncertainty may be introduced to an object det…
By predicting sparse shadow cues, our physics-inspired machine learning algorithm can reconstruct the underlying 3D scene. Abstract. W…
FuseBot is a robotic system that can efficiently find and retrieve both RFID tagged and untagged target objects in line-of-sight, non-line-…
Recognizing and interpreting group behaviors is much more challenging than that of individual behaviors. Firstly, the system must perform w…
Press: - MIT News: Using reflections to see the world from new points of view- TechXplore, EuropaPress, La Nacion …
An exploration of how advances in deep learning and generative models can be used to help us synthesize our ideas.
RFusion is a robotic system that can search for and retrieve items in line-of-sight, non-line-of-sight, and fully occluded settings. It con…
Tangible Swarm is a tool that displays relevant information about a robotics system (e.g., multi-robot, swarm, etc.) in real time whil…
Can robots find and grasp hidden objects?Robots are not capable of handling tasks as simple as restocking grocery store shelves as th…
www.ajl.orgAn unseen force is rising—helping to determine who is hired, granted a loan, or even how long someone spends in prison. This for…
The Electome: Where AI meets political journalismThe Electome project is a machine-driven mapping and analysis of public sphere content and…
This project depicts the design, deployment and operation of a Tangible Regulation Platform, a physical-technological apparatus made for th…
Seeing through dense, dynamic, and heterogeneous fog conditions. The technique, based on visible light, uses hardware that is similar to LI…
The Storytelling project uses machine-based analytics to identify the qualities of engaging and marketable media. By developing models with…
Developed by Ira Winder with the MIT Centre for Transportation and Logistics, the model seeks to use real population data and create a simu…