
MIT Researchers Introduce DAAAM for Spatiotemporal Robotic Memory
A new architectural framework enables mobile robots to store and retrieve semantic information about their environment using natural language queries.

A new architectural framework enables mobile robots to store and retrieve semantic information about their environment using natural language queries.

A new robotic system utilizes deep reinforcement learning and tactile sensing to automate the delicate task of slicing and serving salmon.

The ATLAS navigation system utilizes synthetic data and probabilistic filtering to enable uncrewed ground vehicles to operate in contested environments without satellite signals.
Concordia University researchers utilized generative AI synthetic data to train a deep reinforcement learning agent capable of executing complex cardiac imaging without manual guidance.

Boston Dynamics’ Spot robot, powered by Google DeepMind’s Gemini AI, makes a pivotal leap, moving beyond data collection to truly autonomous interpretation and intelligent decision-making in complex industrial environments.
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