With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.
Laura Dodds and Fangzheng Liu were recognized among the finalists at the MIT–Amazon Science Hub Robotics Research Day, earning first and thi
Honeywell + MIT Media Lab unite to shape future tech, merging academic insight with industry in AI, aviation, energy, and more.
By leveraging reflections from wireless signals, the system could allow robots to find and manipulate items that are blocked from view.
A new low-power system using radio frequency waves takes a major step toward autonomous, indoor drone navigation.
Two papers from the Signal Kinetics research group were honored at the IEEE RFID conference in Seattle, WA this year. Tara Boroushaki,…
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The device could help workers locate objects for fulfilling e-commerce orders or identify parts for assembling products.
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
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