Recent years have seen an explosion in the use of ad-hoc, IP-based and Wifi networks for control of spatially-distributed physical systems, with applications including automotive fleets; swarms of UAVs; remote surgery; and optimization of sensor networks. These new forms of communication have dramatically decreased the cost, energy, and maintenance associated with remote regulation, but have added fundamental challenges in the form of delay, packet drops, and intermittent feedback.

The overall research objective of the project is to establish and demonstrate a generic motion- sensing co-design procedure that significantly reduces the complexity of mission design for swarm- ing CPS, and greatly facilitates the development of effective and efficient control and sensing strategies.

Our overall aim in this project is to synthesize desired behaviors in populations of bacterial and mammalian cells. To this goal, we define the basis of a next-generation cyber-physical system (CPS) called biological CPS (bioCPS). The enabling technologies are synthetic biology and micron-scale mobile robotics. Synthetic genetic circuits for decision making and local communication among the cells are automatically synthesized using a Bio-Design Automation (BDA) workflow.

The goal of this project is to create an integrative framework for the design of coupled biological and robotic systems that accommodates system uncertainties and competing objectives in a rigorous, holistic, and e­ffective manner. The design principles are developed using a concrete, end-to-end application of tracking and modeling fish movement with a network of gliding robotic fish. The proposed robotic platform is an energy-efficient underwater gliding robotic fish that travels by changing its buoyancy and mass distribution (gliding) or by flapping tail fin (swimming).

Our results concern using program‐slicing to model software components in a CPS, with applications to verification of aviation software.

Equipment operation represents one of the most dangerous tasks on a construction sites and accidents related to such operation often result in death and property damage on the construction site and the surrounding area. Such accidents can also cause considerable delays and disruption, and negatively impact the efficiency of operations. This Cyber Physical System (CPS) research project will conduct research to improve the safety and efficiency of cranes by integrating advances in robotics, computer vision, and construction management.

Assistive machines such as robotic arms and powered wheelchairs promote independence and ability in those with severe motor impairments. As the field of assistive robotics progresses rapidly, these devices are becoming more capable and dextrous and as a result, higher dimensional and harder to control. The dimensionality mismatch between high-dimensional robots and low-dimensional control interfaces requires the control space to be partitioned into control modes. For full control of the robot the user switches between these partitions and this is known as mode switching.