Planning with Conflicting Specifications

Autonomous systems may be subject to several requirements. Consider, as an example, autonomous vehicles that need to follow the road rules. Often, these rules cannot be simultaneously satisfied. For instance, when encoutering a vehicle that is (improperly) parked next to the solid line, an autonomous vehicle may need to violate the lane keeping rule (which prohibits the vehicle from crossing solid lane boundary) or the obstacle clearance rule (which requires the vehicle to keep some safety gap when passing a parked vehicle). Another example is the trolley problem where autonomous systems need to choose which safety requirements to violate. More complications arise when taking into account uncertainties, e.g., in perception, prediction, control, etc.

The goal of this project is to develop planning and decision-making algorithms for systems that are subject to multiple, potentially conflicting objectives. These objectives may be represented by a combination of cost functions (e.g., control efforts) and temporal logic formulas (e.g., rules of the road), with associated violation metrics.

Tichakorn (Nok) Wongpiromsarn
Tichakorn (Nok) Wongpiromsarn
Assistant Professor

My research focuses on formal methods, motion planning, situational reasoning, hybrid systems, and distributed control systems.