In real-world environments, ranging from urban disastrous scenes to underground mining
tunnels, autonomous mobile robots are being deployed in harsh and cluttered …

The motion planning and tracking control techniques of unmanned underwater vehicles
(UUV) are fundamentally significant for efficient and robust UUV navigation, which is crucial …

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 …

Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited
resources working in hazardous, unstructured, and dynamic environments to improve the …

Cooperation in multi-agent and multi-robot systems can help agents build various
formations, shapes, and patterns presenting corresponding functions and purposes …

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

Underlying relationships among multiagent systems (MAS) in hazardous scenarios can be
represented as game-theoretic models. In adversarial environments, the adversaries can be …

Underlying relationships among Multi-Agent Systems (MAS) in hazardous scenarios can be
represented as Game-theoretic models. This paper proposes a new hierarchical network …

As a unifying concept in economics, game theory, and operations research, even in the
Robotics and AI field, the utility is used to evaluate the level of individual needs, preferences …

A mobile robot's precise location information is critical for navigation and task processing,
especially for a multi-robot system (MRS) to collaborate and collect valuable data from the …