5 papers · 1 filter
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,…
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…
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…
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.…
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…