Distributed control has emerged as a major focus in the systems and controls area, with
multiagent robotics playing a prominent role both as a canonical instantiation of a system …

This chapter surveys the main approaches developed to date to endow robots with the
ability to learn from human guidance. The field is best known as robot programming by …

Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a
robot or a non-player character in a computer game. Traditional design methods, such as …

Obtaining an accurate mechanical model of a soft deformable robot compatible with the
computation time imposed by robotic applications is often considered an unattainable goal …

Additive manufacturing (AM) is a key enabler and technological pillar of the fourth industrial
revolution (Industry 4.0) as it increases productivity and improves resource efficiency …

Construction operations are typically spread across large areas and require remote
collaboration between multiple disparate resources—characteristics that create logistical …

In this paper, we introduce a novel and efficient hybrid trajectory planning method for
autonomous driving in highly constrained environments. The contributions of this paper are …

Validating robotics projects is a hard task. It demands more than intellectual effort, but also
specific hardware usage, turning the designed project expensive and because of that …

Swarm Robotics is an emerging field of adapting the phenomenon of natural swarms to
robotics and a study of robots to mimic natural swarms, like ants and birds, to form a …

To improve the efficiency of deep reinforcement learning (DRL)-based methods for robotic
trajectory planning in the unstructured working environment with obstacles. Different from …