Samir Menon

[From Abstract]:
Transferring human contact-manipulation skills to robots is complicated by the combinatorial growth in contact state descriptions with object and environment complexity, with no systematic method to characterize the subset of contact states that humans actually control. In this paper, we present an approach to determine whether human subjects control specific contact states.

[From Abstract]:
"A challenging problem in motor control neuroimaging studies is the inability to perform complex human motor tasks given the Magnetic Resonance Imaging (MRI) scanner's disruptive magnetic fields and confined workspace. In this paper, we propose a novel experimental platform that combines Functional MRI (fMRI) neuroimaging, haptic virtual simulation environments, and an fMRI-compatible haptic device for real-time haptic interaction across the scanner workspace.... We… Show more

[From Abstract]:
"A challenging problem in motor control neuroimaging studies is the inability to perform complex human motor tasks given the Magnetic Resonance Imaging (MRI) scanner's disruptive magnetic fields and confined workspace. In this paper, we propose a novel experimental platform that combines Functional MRI (fMRI) neuroimaging, haptic virtual simulation environments, and an fMRI-compatible haptic device for real-time haptic interaction across the scanner workspace.... We implement this Haptic fMRI platform with a novel haptic device, the Haptic fMRI Interface (HFI), and demonstrate its suitability for motor neuroimaging studies." Show less

[From Abstract]:
Reconstructing human motion dynamics in real-time is a challenging problem since it requires accurate motion sensing, subject specific models, and efficient reconstruction algorithms. A promising approach is to construct accurate human models, and control them to behave the same way the subject does. Here, we demonstrate that the whole-body control approach can efficiently reconstruct a subject’s motion dynamics in real world task-space when given a scaled model and marker… Show more

[From Abstract]:
Reconstructing human motion dynamics in real-time is a challenging problem since it requires accurate motion sensing, subject specific models, and efficient reconstruction algorithms. A promising approach is to construct accurate human models, and control them to behave the same way the subject does. Here, we demonstrate that the whole-body control approach can efficiently reconstruct a subject’s motion dynamics in real world task-space when given a scaled model and marker based motion capture data. Show less