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A multifaceted suite of metrics for comparative myoelectric prosthesis controller research
Upper limb robotic (myoelectric) prostheses are technologically advanced, but challenging to use. In response, substantial research is …
Heather E. Williams
,
Ahmed W. Shehata
,
Kodi Y. Cheng
,
Jacqueline S. Hebert
,
Patrick M. Pilarski
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Generating accurate 3D gaze vectors using synchronized eye tracking and motion capture
Assessing gaze behavior during real-world tasks is difficult; dynamic bodies moving through dynamic worlds make gaze analysis …
Scott A. Stone
,
Quinn A. Boser
,
T. Riley Dawson
,
Albert H. Vette
,
Jacqueline S. Hebert
,
Patrick M. Pilarski
,
Craig S. Chapman
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Communicative capital: A key resource for human-machine shared agency and collaborative capacity
In this work, we present a perspective on the role machine intelligence can play in supporting human abilities. In particular, we …
Kory W. Mathewson
,
Adam S. R. Parker
,
Craig Sherstan
,
Ann L. Edwards
,
Richard S. Sutton
,
Patrick M. Pilarski
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What's a good prediction? Challenges in evaluating an agent's knowledge
Constructing general knowledge by learning task-independent models of the world can help agents solve challenging problems. However, …
Alex Kearney
,
Anna J. Koop
,
Patrick M. Pilarski
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Adaptive patch foraging in deep reinforcement learning agents
Patch foraging is one of the most heavily studied behavioral optimization challenges in biology. However, despite its importance to …
Nathan J. Wispinski
,
Andrew Butcher
,
Craig S. Chapman
,
Matthew M. Botvinick
,
Patrick M. Pilarski
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