One of the ambitions of Science Robotics is to deeply root robotics research in science while
develo** novel robotic platforms that will enable new scientific discoveries. Of our 10 …

Robustness is key to engineering, automation, and science as a whole. However, the
property of robustness is often underpinned by costly requirements such as over …

In practice, the dual constraints of limited interaction capabilities and system uncertainties
make it difficult for large-scale multiagent systems (MASs) to achieve intelligent collaboration …

Cooperative multi-robot tasks can benefit from heterogeneity in the robots' physical and
behavioral traits. In spite of this, traditional Multi-Agent Reinforcement Learning (MARL) …

In the context of heterogeneous multirobot teams deployed for executing multiple tasks, this
article develops an energy-aware framework for allocating tasks to robots in an online …

We present a survey on the application of fluid approximations, in the form of mean-field
models, to the design of control strategies in swarm robotics. Mean-field models that consist …

The decentralized aggregate motion of many individual robots is known as robotic flocking.
The study of robotic flocking has received considerable attention in the past twenty years. As …

This paper proposes a novel game-theoretical autonomous decision-making framework to
address a task allocation problem for a swarm of multiple agents. We consider cooperation …

Aiming to develop a more robust and intelligent heterogeneous system for adversarial
catching in security and rescue tasks, in this article, we discuss the specialities of applying …

Multi-agent settings in the real world often involve tasks with varying types and quantities of
agents and non-agent entities; however, common patterns of behavior often emerge among …