collaborators

5 papers

eess.SP2026

Cross-Frequency Bispectral EEG Analysis of Reach-to-Grasp Planning and Execution

Sima Ghafoori, Anna Cetera, Ali Rabiee +5

Neural control of grasping arises from nonlinear interactions across multiple brain rhythms, yet EEG-based motor decoding has largely relied on linear, second-order spectral featur…

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,…

eess.SP2025

Macroscopic EEG Reveals Discriminative Low-Frequency Oscillations in Plan-to-Grasp Visuomotor Tasks

Anna Cetera, Sima Ghafoori, Ali Rabiee +3

The vision-based grasping brain network integrates visual perception with cognitive and motor processes for visuomotor tasks. While invasive recordings have successfully decoded lo…

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…