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Adrian M. Haith

3 accepted papers

2023

A Novel Control Law for Multi-Joint Human-Robot Interaction Tasks While Maintaining Postural Coordination

IROS 2023poster

Exoskeleton robots are capable of safe torque-controlled interactions with a wearer while moving their limbs through predefined trajectories. However, affecting and assisting the wearer's movements while incorporating their inputs (effort and movements) effectively during an interaction re-mains an…

Cited by 1SourceScholar
2022

Quantifying Changes in Kinematic Behavior of a Human-Exoskeleton Interactive System

IROS 2022poster

While human-robot interaction studies are becoming more common, quantification of the effects of repeated interaction with an exoskeleton remains unexplored. We draw upon existing literature in human skill assessment and present extrinsic and intrinsic performance metrics that quantify how the human…

Cited by 3SourceScholar
2021

Capturing Skill State in Curriculum Learning for Human Skill Acquisition

IROS 2021poster

Humans learn complex motor skills with practice and training. Though the learning process is not fully understood, several theories from motor learning, neuroscience, education, and game design suggest that curriculum-based training may be the key to efficient skill acquisition. However, designing s…

Cited by 6SourceScholar