An exploration task can be performed by a team of mobile robots more efficiently than
human counterparts. They can access and give live updates for hard-to-reach areas such as …

This article presents a closed-form approach to constraining a flow within a given volume
and around objects. The flow is guaranteed to converge and to stop at a single fixed point …

Abstract Rapidly-exploring Randomized Trees (RRT) is a kind of probabilistically complete
exploration algorithm based on the tree structure. It has been widely used in the robotic …

Humans excel at navigating and moving through dynamic and complex spaces, such as
crowded streets. For robots to do the same, it is crucial that they are endowed with highly …

Aiming at the trajectory planning problem for heterogeneous UAV formations in complex
environments, a trajectory prediction model combining Convolutional Neural Networks …

A novel formation tracking control method for traffic cone robots (TCRs) under environmental
constraints is presented. In this paper, the TCRs can perform swarm behaviors and track …

Groups of battery powered unmanned aerial vehicles (UAVs) are effective in a variety of
scenarios that require autonomous cooperation to achieve a goal. However, the complexity …

The application of mobile robots and artificial intelligence technology has shown great
application prospects in many fields. The ability of intelligent obstacle avoidance is the basis …

In this paper, we address the problem of connectivity maintenance for a group of robots
connected via wireless communication. We consider fading in the wireless channel between …

The study aims to explore the problem of the distributed cooperative optimization control for
the leader-following interconnected nonlinear multi-agent systems (MASs) via a distributed …