Assistance

Thu, 14 May 2026 00:00:00 +0000

The ability to manipulate our environment is key to our lives and agency. Assistive robots are a promising technology to restore this capability to individuals living with neuromotor disabilities — but available control interfaces for these robots are slow, unreliable, and don’t adapt to new users. We leverage emerging biosensing technologies (from sonomyography to IMUs) and HCI-informed system design to enable users to interact with assistive devices more naturally, reliably, and with less burdensome calibration.

Developing effective assistance platforms requires addressing many integrated, interdependent open questions regarding user capability and intent and robot control and design, and we approach these questions holistically alongside our user and caregiver communities. Check out our publications below for our most recent results, and visit our contact page to get involved as a device user.

Rehabilitation

Thu, 14 May 2026 00:00:00 +0000

Motor recovery after neurological disease or injury (e.g, stroke) requires intensive, high-quality rehabilitation to retrain the nervous system through healthy movement practice. However, due to limited access to skilled therapists, many individuals receive insufficient or ineffective therapy. Rehabilitation robots offer a scalable solution to this access gap, but many open questions remain on how to control these devices effectively to promote meaningful recovery.

Drawing on neuroscientific understanding of disease and recovery mechanisms, biosensing technologies like surface electromyography and motion capture, and emerging machine learning and robot control methodologies, we work to build robot-mediated therapy systems for the upper limb that are personalized, provably engaging, and ultimately, rehabilitative. Check out our publications below for our most recent results, and visit our contact page to get involved as a device user.

Research | HRELab

Assistance

Rehabilitation