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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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Grants

Research Output

Discrete N-Dimensional Entropy of Behavior: DNDEB

Young, M., Javaremi, M. N. & Argall, B. D., Nov 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019. Institute of Electrical and Electronics Engineers Inc., p. 2227-2233 7 p. 8968600. (IEEE International Conference on Intelligent Robots and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Formalized task characterization for human-robot autonomy allocation

    Young, M., Miller, C., Bi, Y., Chen, W. & Argall, B. D., May 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 6044-6050 7 p. 8793475. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Interface Operation and Implications for Shared-Control Assistive Robots

    Javaremi, M. N., Young, M. & Argall, B. D., Jun 1 2019, In : IEEE ... International Conference on Rehabilitation Robotics : [proceedings]. 2019, p. 232-239 8 p.

    Research output: Contribution to journalArticle

  • Autonomy in Rehabilitation Robotics: An Intersection

    Argall, B. D., 2018, In : Annual Review of Control, Robotics, and Autonomous Systems . 1, p. 441-463 23 p.

    Research output: Contribution to journalArticle

    Open Access
  • Recursive Bayesian Human Intent Recognition in Shared-Control Robotics

    Jain, S. & Argall, B. D., Dec 27 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. Institute of Electrical and Electronics Engineers Inc., p. 3905-3912 8 p. 8593766. (IEEE International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 3 Scopus citations