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Daniela Rus, director of MIT CSAIL, receives the 2026 Bavarian Minister-President's High-Tech Prize for her pioneering contributions to robotics, AI, and autonomous systems, including soft robotics and liquid neural networks.
This paper presents a lightweight 1D CNN framework for classifying affective touches in soft plush companions, achieving 75% test accuracy with a 13.2k-parameter model and proposing a hybrid heuristic-CNN inference pipeline for embedded deployment.
This article discusses how reservoir computing, a simplified type of neural network often called AI's cousin, is being applied to control soft robots, offering efficient and adaptive control solutions.
Researchers at MIT developed artificial muscles from woven fibers with embedded pumps that use electric fields to move fluid, enabling smooth, quiet motion for soft robotic arms and wearable devices.