1 citations · 1 across the 7 of their papers we have counts for
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End-to-end Optimization of Belief and Policy Learning in Shared Autonomy Paradigms
MH Farhadi, Ali Rabiee, Sima Ghafoori +3
Shared autonomy systems require principled methods for inferring user intent and determining appropriate assistance levels. This is a central challenge in human-robot interaction,…
Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control Space
Ali Rabiee, Sima Ghafoori, MH Farhadi +5
Current invasive assistive technologies are designed to infer high-dimensional motor control signals from severely paralyzed patients. However, they face significant challenges, in…
STREAMS: An Assistive Multimodal AI Framework for Empowering Biosignal Based Robotic Controls
Ali Rabiee, Sima Ghafoori, Xiangyu Bai +2
End-effector based assistive robots face persistent challenges in generating smooth and robust trajectories when controlled by human's noisy and unreliable biosignals such as muscl…
Toward human-centered shared autonomy AI paradigms for human-robot teaming in healthcare
Reza Abiri, Ali Rabiee, Sima Ghafoori +1
With recent advancements in AI and computation tools, intelligent paradigms emerged to empower different fields such as healthcare robots with new capabilities. Advanced AI robotic…
A novel seamless magnetic-based actuating mechanism for end-effector-based robotic rehabilitation platforms
Sima Ghafoori, Ali Rabiee, Maryam Norouzi +2
Rehabilitation robotics continues to confront substantial challenges, particularly in achieving smooth, safe, and intuitive human-robot interactions for upper limb motor training.…