3 papers
cs.RO2026
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,…
cs.HC2025
Human-Centered Shared Autonomy for Motor Planning, Learning, and Control Applications
MH Farhadi, Ali Rabiee, Sima Ghafoori +3
With recent advancements in AI and computational tools, intelligent paradigms have emerged to enhance fields like shared autonomy and human-machine teaming in healthcare. Advanced…
cs.RO2025
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…