Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due
to their agility and versatility, which have attracted significant attentions from both the …

A variety of cooperative multi-agent control problems require agents to achieve individual
goals while contributing to collective success. This multi-goal multi-agent setting poses …

Path planning is a basic task of robot navigation, especially for autonomous robots. It is more
complex and difficult for multi-agent systems. The popular reinforcement learning method …

This paper presents a method to predict the future movements (location and gaze direction)
of basketball players as a whole from their first person videos. The predicted behaviors …

This paper is concerned with the problem of path planning for a class of composite
unmanned aerial vehicles (UAVs). The composite UAV in the paper refers to an aerial …

We are interested in the multiple robot surveillance problem where robots must allocate
waypoints to be visited among themselves and plan paths through different waypoints while …

This paper studies a team coordination problem in a graph environment. Specifically, we
incorporate “support” action which an agent can take to reduce the cost for its teammate to …

Abstract In the Multiagent Connected Path Planning problem (MCPP), a team of agents
moving in a graph-represented environment must plan a set of start-goal joint paths which …

We study distributed planning for multi-robot systems to provide optimal service to
cooperative tasks that are distributed over space and time. Each task requires service by …

Planning optimal paths for large numbers of robots is computationally expensive. In this
thesis, we present a new framework for multirobot path planning called subdimensional …