Stroke is a leading cause of long-term disability, with 80% of survivors having locomotor impairments. Individuals after stroke typically present with hemiparetic gait, characterized as slow, asymmetric, and inefficient. Our lab has been developing soft wearable cyber-physical sytems, called soft exosuits, that interface with paretic limb after stroke through soft and conformal textile-based structures to assist hemiparetic walking. Soft exosuits transmit mechanical power to human body joints via interaction between functional textiles worn on the body and Bowden cable retraction.

Connected Automated Vehicles (CAVs), often referred to as “self-driving cars,” will have a profound impact not only on transportation systems, but also in terms of associated economic, environmental, and social effects. As with any such major transformative undertaking, quantifying the magnitude of its expected impact is essential.

This project is developing tools for traffic management and control using formal methods. By applying techniques such as model-checking and correct-byconstruction synthesis, we ensure that traffic flow satisfies high-level objectives expressed using temporal logics that guarantee desirable behavior such as avoiding congestion, maintaining high throughput, ensuring fairness of ramp metering strategies, and reacting to incidents or unexpected conditions.