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Interface-aware Autonomy, Control Sharing, and Machine Learning

A distinguishing theme present within many of our projects is that the machine automation is customizable—to a user’s physical abilities, personal preferences or even financial means. A fundamental question that arises time and again throughout many of our projects is how exactly to share control between the robot and the human user.

We are working with a range of hardware platforms, from smart wheelchairs to assistive robotic arms. 

By easing the control burden of assistive machines, the argallab strives to advance human ability through robotics autonomy.

Learn more about research at Argallab.

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