Robot swarm is a hot spot in robotic research community. In this paper, we propose a
decentralized framework for car-like robotic swarm which is capable of real-time planning in …

Autonomous navigation of ground robots on uneven terrain is being considered in more and
more tasks. However, uneven terrain will bring two problems to motion planning: how to …

Aerial robots are widely deployed, but highly cluttered environments such as dense forests
remain inaccessible to drones and even more so to swarms of drones. In these scenarios …

To plan the trajectories of a large and heterogeneous swarm, sequential or synchronous
distributed methods usually become intractable, due to the lack of global connectivity and …

This article presents a decentralized algorithm that generates continuous-time trajectory
online for a swarm of robots based upon model predictive control. To generate collision-free …

Multicopter swarms with decentralized structure possess the nature of flexibility and
robustness, while efficient spatial-temporal trajectory planning still remains a challenge. This …

A novel decentralised trajectory generation algorithm for Multi Agent systems is presented.
Multi-robot systems have the capacity to transform lives in a variety of fields. But, trajectory …

Navigating mobile robots through environments shared with humans is challenging. From
the perspective of the robot, humans are dynamic obstacles that must be avoided. These …

In this paper, the problem of decentralized co-planning of motion and communication
strategies is investigated for the networked mobile robots which accomplish target visiting …

This paper introduces an arbitrary-region based shape-control methodology for a swarm-
robotics framework to conquer the traditional obstacle-avoidance problem. In this control …