Develop efficient algorithms for autonomous systems to characterize and actively identify the inconsistencies (e.g., in perception and decision-making) among the interacting agents and to influence the behaviors of the other agents to improve the safety of the overall system.
Develop specification formalisms, control synthesis algorithms, and quantitative verification frameworks for autonomous systems that include learning-based components, operate in uncertain environments, and are subject to conflicting requirements with partially established priorities.
Develop and retrofit an existing snowplow with a suite of sensors and mapping systems along with a driver assistance interface that will guide the operator when visibility
Develop runtime verification techniques that incorporate mixed-abstraction-level granularity in specifications and enable on-deadline mitigation triggering