Hi, I'm Artemis!
NSF Graduate Research Fellow · Robotics & Embedded Systems
I build sensing skins for robots, and the on-device AI that turns contact into response.
I'm an NSF Graduate Research Fellow building tactile intelligence — the sensing and embedded AI that let robots feel contact and respond safely.
Biomechatronics Group, MIT
Muscle-driven control paired with tactile feedback, tracing how a limb the body has no blueprint for comes to feel like part of it — and what has to hold true before that ownership takes hold.
Pre-contact proximity sensing added to a learned manipulation policy alongside vision and proprioception, for work in close, cluttered spaces.
Handlebar configurations that give elderly and mobility-impaired users steady support, evaluated with human subjects.
Machines that touch the world rarely pass that touch back. I want to close that loop — conformable skins that turn real-time contact into feedback a person can actually feel, across prosthetics, teleoperation, and wearables that work in contact with the body.
Safe human augmentation — supernumerary limbs, exoskeletons, clinical robots — requires continuous on-body knowledge of the user’s physiological state. My goal: miniaturized, edge-deployed biosignal pipelines that let assistive systems adapt to the human in real time.
Submitted HandleAnywhere to IEEE Access — handlebar configurations for balance support in older adults, with R. Bolli and H. Asada. Now under review.
Selected as a Reviewer for NASA M-STAR 2026 — MUREP Space Technology Artemis Research.
Joined the Biomechatronics Group at MIT as a Research Assistant — developing tactile sensing for prosthetic interfaces.
Research internship at the d'Arbeloff Laboratory at MIT — human-subjects testing of a balance-support handlebar simulator for older adults.
Invited as a Peer Reviewer for SAB 2026 (Simulation of Adaptive Behavior, Springer/LNAI).