We present a bifurcation analysis of electrical alternans in the two-current Mitchell-Schaeffer (MS) cardiac-cell model using the theory of -decidability over the reals. Electrical alternans is a phenomenon characterized by a variation in the successive Action Potential Durations (APDs) generated by a single cardiac cell or tissue.

This project is a modular multi-robot cyber-physical system (CPS) for assisting young developmentally-delayed children learn to walk. The challenges of assisting young developmentally-delayed children learn to walk are 1) stabilizing medio-lateral body movement; and 2) developing gait that exploits potential and kinetic energy exchange. Typically, adults help children learn to walk by providing support that enables them to safely explore the environment.

This post considers a problem of target or source localization based on the measurements from a mobile sensor or a network of sensors. The assumption is that the received signal strength is strictly monotonic with the distance between the target and the sensor. No explicit signal propagation model, neither the structure nor the mathematical description, is assumed or used in localization. It shows that this mere knowledge of monotonicity suffices in locating the unknown target in the absence of noise.

Optimization algorithms used in a real-time and safety-critical context offer the potential for considerably advancing robotic and autonomous systems by improving their ability to execute complex missions. However, this promise cannot happen without proper attention to the considerably stronger operational constraints that real time, safety-critical applications must meet, unlike their non-real-time, desktop counterparts.

This exhibition presents two projects. The first project is a framework and associated tooling for the extraction of system specifications from test data that has been automatically generated from automated executions of the system. The test data in our framework consists of sequences of inputs to and the corresponding outputs from the system. From an initial collection of test data, data-mining techniques are used to infer the invariants; then the system is instrumented with the invariants and new test data is generated to try to invalidate the mined invariants.

Part 1: Upper-limb motor impairments arise from a wide range of clinical conditions including amputations, spinal cord injury, or stroke. Addressing lost hand function, therefore, is a major focus of rehabilitation interventions; and research in robotic hands and hand exoskeletons aimed at restoring fine motor control functions gained significant speed recently. Integration of these robots with neural control mechanisms is also an ongoing research direction.

Oceans are drivers of global climate; they are home to some of our most important and diverse ecosystems; and they provide a substantial amount to the world’s economy as a major source of food and employment. Sound plays a vital role in the ocean ecosystem, as many organisms rely on the acoustic environment for navigation, communication, detecting predators and finding food. Therefore, the 3D underwater soundscape, i.e., the combination of sounds present in the immersive underwater environment, is of extreme importance to ultimately understanding and protecting underwater ecosystems.