• Source: Scopus
20022020

Research output per year

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Personal profile

Research Interests

Professor Argall’s research lies at the intersection of artificial intelligence, rehabilitation robotics and machine learning. A distinguishing theme present within many of her lab's 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 their projects is how exactly to share control between the robot and the human user, and how to adapt these control formulations over time as the human changes. They are working with a range of hardware platforms, from a smart wheelchair to assistive robotic arms. Robots already synthetically sense, act in and reason about the world, and these technologies can be leveraged to help bridge the gap left by sensory, motor or cognitive impairments in the users of assistive machines.

Education/Academic qualification

Robotics, PhD, Carnegie Mellon University

… → 2009

Robotics, MS, Carnegie Mellon University

… → 2006

Mathematical Sciences, BS, Carnegie Mellon University

Research interests

  • Efficient behavior development
  • Machine learning techniques
  • Robot autonomy
  • Robot motion control

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