Emulating how humans coordinate articulated limbs within the brain's power budget
promises to accelerate progress in building autonomous biomimetic robots. Here, we used a …

We introduce the SPIRAL family of single-server private information retrieval (PIR) protocols.
SPIRAL relies on a composition of two lattice-based homomorphic encryption schemes: the …

We demonstrate reliable neural responses to changes in haptic stiffness perception using a
functional magnetic resonance imaging (fMRI) compatible particle-jamming haptic interface. …

Haptics combined with functional magnetic resonance imaging (Haptic fMRI) can non-invasively
study how the human brain coordinates movement during complex manipulation tasks, …

Reconstructing human motion dynamics in real-time is a challenging problem since it requires
accurate motion sensing, subject specific models, and efficient reconstruction algorithms. …

We introduce YPIR, a single-server private information retrieval (PIR) protocol that achieves
high throughput (up to 75% of the memory bandwidth of the machine) without any offline …

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 …

Private information retrieval (PIR) is a key building block in many privacy-preserving systems,
and recent works have made significant progress on reducing the concrete computational …

Here, we present insights into human contact-control strategies by defining conditions to
determine whether a human controls a contact state, empirically analyzing object-to-…

Modeling human motion requires an accurate specification of musculoskeletal physiology,
yet there exists no method to quantify the modeling accuracy required, or to predict the effect …