Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …

Multi-robot coarse-to-fine exploration in unknown environments makes great sense in many
application fields like search and rescue. For different stages of the task, robots need to …

Communication is an important capability for multi-robot exploration because (1) inter-robot
communication (comms) improves coverage efficiency and (2) robot-to-base comms …

In this paper, we proposed a novel multi-robot collaborative exploration method to improve
the efficiency and robustness of multi-robot exploration in unknown environments. Firstly, a …

Deep neural networks for graphs have emerged as a powerful tool for learning on complex
non-euclidean data, which is becoming increasingly common for a variety of different …

Multi-robot exploration of complex, unknown environments benefits from the collaboration
and cooperation offered by inter-robot communication. Accurate radio signal strength …

Efficient environment sharing is crucial for multi-robot tasks, such as exploration and
navigation. However, real-time environment sharing faces significant challenges due to …

Quantiles of a natural phenomena can provide scientists with an important understanding of
different spreads of concentrations. When there are several available robots, it may be …

We propose and study a problem inspired by a common task in disaster, military, and other
emergency scenarios: search and rescue. Suppose an object (victim, message, target, etc.) …

This paper introduces a novel enhancement to the Decentralized Multi-Agent Reinforcement
Learning (D-MARL) exploration by proposing communication-induced action space to …