Abstract Behavior Trees (BTs) were invented as a tool to enable modular AI in computer
games, but have received an increasing amount of attention in the robotics community in the …

Autonomous robots combine a variety of skills to form increasingly complex behaviors called
missions. While the skills are often programmed at a relatively low level of abstraction, their …

Autonomous robots combine skills to form increasingly complex behaviors, called missions.
While skills are often programmed at a relatively low abstraction level, their coordination is …

Software architectures for autonomous systems are generally structured with 3 layers: a
decisional layer managing autonomous reasoning, a functional layer managing reactive …

This paper proposes a systematic approach for automatic tasking and coordination of a
heterogeneous team of cooperative autonomous vehicles forming an intelligent vehicle …

This article addresses the concurrency issues affecting behavior trees (BTs), a popular tool
to model the behaviors of autonomous agents in the video game and the robotics industry …

Multirobot and multiagent systems demonstrate collective (swarm) intelligence through
systematic and distributed integration of local behaviors in a group. Agents sharing …

We present an algorithm for learning behavior trees for robotic task planning, which
alleviates the need for time-intensive or infeasible manual design of control architectures …

This paper proposes a cooperative task allocation and execution strategy for a group of
agents with different capabilities to accomplish a mission autonomously. For each local …

Heterogeneous Robot Teams can provide a wide range of capabilities and, therefore,
significant benefits when handling a mission. However, they also require new approaches to …