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asl
Inventing, building, and deploying wireless sensor technologies to address complex problems in society, industry, and ecology
We have developed a wireless system that leverages the inexpensive RFID tags already on hundreds of billions of products to sense potentia…
Life with AI | Designing the future of smart systems to improve the human experience
Future Worlds | Design and action for the future we want to live in
Connected Mind + Body | Revolutionizing the future of mental and physical wellbeing
FuseBot is a robotic system that can efficiently find and retrieve both RFID tagged and untagged target objects in line-of-sight, non-line-…
Tara Boroushaki, a PhD student in the Signal Kinetics group, explains how she's combined AR and wireless signals to find hidden objects.
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…
Physicist Sabine Hossenfelder discusses X-AR, the new research from the Media Lab’s Signal Kinetics group.
Using augmented reality, the X-AR system developed by the Signal Kinetics research group can guide users to find hidden objects.
Two papers from the Signal Kinetics research group were honored at the IEEE RFID conference in Seattle, WA this year. Tara Boroushaki,…
MIT professors Fadel Adib and Dina Katabi receive the ACM SIGMOBILE Test-of-Time Award for their paper, “See Through Walls with WiFi!”
Our group develops technologies that can see through walls and perform motion capture through occlusions. To do so, we rely on wireless sig…
The device could help workers locate objects for fulfilling e-commerce orders or identify parts for assembling products.
Tara Boroushaki, Isaac Perper, Mergen Nachin, Alberto Rodriguez, Fadel Adib. "RFusion: Robotic Grasping via RF-Visual Sensing and Learning." ACM Conference on Embedded Networked Sensor Systems 2021.
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…
Boroushaki, Tara, et al. "Robotic Grasping of Fully-Occluded Objects using RF Perception." IEEE International Conference on Robotics and Automation (ICRA 2021).
The WSJ covers research from the Signal Kinetics group and other labs, universities, and companies working on AI-enabled devices.
Can robots find and grasp hidden objects?Robots are not capable of handling tasks as simple as restocking grocery store shelves as th…
TurboTrack is a 3D localization system for fine-grained robotic tasks, with unique capability to localize backscatter nodes with sub-centim…
System uses RFID tags to home in on targets; could benefit robotic manufacturing, collaborative drones, and other applications.
News coverage of the RFIQ project