Grants per year
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 keywords
- Efficient behavior development
- Machine learning techniques
- Robot autonomy
- Robot motion control
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Collaborations and top research areas from the last five years
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Center: NSF Engineering Research Center for Human AugmentatioN via Dexterity (HAND)
Colgate, E. (PD/PI), Cao, J. (Other), Elwin, M. (Other), Gerber, E. M. (Other), Lynch, K. M. (Other), Murphey, T. D. (Other), Truby, R. L. (Other) & argall, B. D. (Other)
9/1/24 → 8/31/29
Project: Research project
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NSF Convergence Accelerator: Track H: Mobility Independence through Accelerated Wheelchair Intelligence
argall, B. D. (PD/PI)
12/15/23 → 11/30/26
Project: Research project
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Interface-Aware Intelligence for Robot Teleoperation and Autonomy
argall, B. D. (PD/PI)
7/15/22 → 6/30/26
Project: Research project
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Argall Subproject: Formal Specifications for Assistive Robotics
Murphey, T. D. (Co-Investigator), Murphey, T. D. (Co-Investigator), Murphey, T. D. (Co-Investigator), argall, B. D. (Co-Investigator), argall, B. D. (Co-Investigator) & argall, B. D. (Co-Investigator)
Underwriters Laboratories Inc.
1/1/22 → 6/30/25
Project: Research project
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NSF Convergence Accelerator Track H: Mobility Independence through Accelerated Wheelchair Intelligence
argall, B. D. (PD/PI) & Rogers, J. A. (Co-PD/PI)
12/15/22 → 2/29/24
Project: Research project
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An Evolution of Assistive Robot Control to Meet End-User Ability
Thompson, A., Rizzoglio, F., Neylon, F. A., Barsoum, D. R., Ammon, L. E., McCune, M. N., Miller, L. & Argall, B., Mar 11 2024, HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, p. 1048-1052 5 p. (ACM/IEEE International Conference on Human-Robot Interaction).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
An Exploratory Multi-Session Study of Learning High-Dimensional Body-Machine Interfacing for Assistive Robot Control
Lee, J. M., Gebrekristos, T., De Santis, D., Nejati-Javaremi, M., Gopinath, D., Parikh, B., Mussa-Ivaldi, F. A. & Argall, B. D., 2023, 2023 International Conference on Rehabilitation Robotics, ICORR 2023. IEEE Computer Society, (IEEE International Conference on Rehabilitation Robotics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access3 Scopus citations -
Characterizing Eye Gaze for Assistive Device Control
Loke, L. Y. C., Barsoum, D. R., Murphey, T. D. & Argall, B. D., 2023, 2023 International Conference on Rehabilitation Robotics, ICORR 2023. IEEE Computer Society, (IEEE International Conference on Rehabilitation Robotics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Hybrid control for combining model-based and model-free reinforcement learning
Pinosky, A., Abraham, I., Broad, A., Argall, B. & Murphey, T. D., May 2023, In: International Journal of Robotics Research. 42, 6, p. 337-355 19 p.Research output: Contribution to journal › Article › peer-review
Open Access13 Scopus citations -
Information Theoretic Intent Disambiguation via Contextual Nudges for Assistive Shared Control
Gopinath, D. E., Thompson, A. & Argall, B. D., 2023, Algorithmic Foundations of Robotics XV - Proceedings of the Fifteenth Workshop on the Algorithmic Foundations of Robotics. LaValle, S. M., O’Kane, J. M., Otte, M., Sadigh, D. & Tokekar, P. (eds.). Springer Nature, p. 239-255 17 p. (Springer Proceedings in Advanced Robotics; vol. 25 SPAR).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution