scholarly journals A Survey of Formation Control for Multiple Mobile Robotic Systems

2020 ◽  
pp. 1515-1520
Author(s):  
Lintle Tsiu ◽  
Elisha Didam Markus
2018 ◽  
Vol 306 ◽  
pp. 234-245 ◽  
Author(s):  
Xiaolei Li ◽  
Xiaoyuan Luo ◽  
Jiange Wang ◽  
Yakun Zhu ◽  
Xinping Guan

Author(s):  
Violet Mwaffo ◽  
Pietro De Lellis ◽  
Sean Humbert

Abstract In this work, we analyze the decentralized formation control problem for a class of multi-robotic systems evolving on slippery surfaces. Grounded on experimental data of robots moving on a gravel surface inducing slippery, we show that a deterministic model cannot capture the uncertainties resulting from the kinematics of the robots while, instead, a model incorporating stochastic noise is capable of emulating such perturbations on wheel driving speed and turn rate. To account for these uncertainties, we consider a second order non-holonomic unicycle model to capture the full dynamics of individual vehicles where both actuation force and torque are subject to stochastic disturbances. Upon reducing the input-output dynamics of individual robot to a stochastic double integrator, we investigate the effects of these perturbations on the control input using concepts from stochastic stability theory and through numerical simulations. We demonstrated the applicability of the proposed scheme for formation control notably by providing sufficient conditions for exponential mean square convergence and we numerically determined the range of noise intensities for which team of robots can achieve formation stabilization. The promising findings from this work are expected to aid the design of robust control schemes for formation control of non-holonomic robots on off-road or un-paved surfaces.


2021 ◽  
Author(s):  
Abzal Ermekbayuly Kyzyrkanov ◽  
Sabyrzhan Kubeisinovich Atanov ◽  
Shadi Abdel Rahman Aljawarneh

Author(s):  
Gianluca Antonelli ◽  
Filippo Arrichiello ◽  
Stefano Chiaverini

AbstractThe paper presents an overview on the use of a behavior-based approach, namely the Null-Space-based Behavioral (NSB) approach, to control multi-robot systems in a wide application domain. The NSB approach has been recently developed to control the motion of generic robotic systems; it uses a projection mechanism to combine the multiple, prioritized, behaviors that compose the robotic mission so that the lower priority behaviors do not effect the higher priority ones. In this paper we describe how the NSB approach has been used to control different multi-robot systems (e.g., composed of wheeled and marine robots) to achieve missions such as formation control, entrapping/escorting of targets, control of mobile ad-hoc networks, flocking, border patrol and cooperative caging.


2021 ◽  
Vol 102 (1) ◽  
Author(s):  
Kefan Wu ◽  
Junyan Hu ◽  
Barry Lennox ◽  
Farshad Arvin

AbstractThere are many potential applications of swarm robotic systems in real-world scenarios. In this paper, formation-containment controller design for single-integrator and double-integrator swarm robotic systems with input saturation is investigated. The swarm system contains two types of robots—leaders and followers. A novel control protocol and an implementation algorithm are proposed that enable the leaders to achieve the desired formation via semidefinite programming (SDP) techniques. The followers then converge into the convex hull formed by the leaders simultaneously. In contrast to conventional consensus-based formation control methods, the relative formation reference signal is not required in the real-time data transmission, which provides greater feasibility for implementation on hardware platforms. The effectiveness of the proposed formation-containment control algorithm is demonstrated with both numerical simulations and experiments using real robots that utilize the miniature mobile robot, Mona.


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