3 accepted papers
This paper proposes a heterogeneous teaming solution to the problem of target discovery and monitoring in unknown, non-convex environments. The team consists of two types of agents: agile agents with sensors capable of mapping their surroundings and slower agents that are capable of monitoring or se
This paper proposes a formulation for the risk-aware path planning problem which utilizes multi-objective optimization to dynamically plan trajectories that satisfy multiple complex mission specifications. In the setting of persistent monitoring, we develop a method for representing environmental in…
This paper proposes an algorithm for generating Pareto-optimal privacy-aware trajectories for multi-robot coverage. Our approach utilizes a genetic algorithm to generate a set of modified trajectories for a team of robots that wishes to obscure its goal from an observer. A novel velocity-constrained…