Texto completo: acesso restrito. p. 1502–1515This paper describes a novel approach in formation control for mobile robots in the active target tracking problem. A nonlinear model predictive formation controller (NMPFC) for target perception was implemented to converge a group of mobile robots toward a desired target. The team must also maintain a desired formation following a target while it is moving, or follow a leader in the case of target’s absence. The structure details of the controller, as well as a mathematical analysis of the formation model used, are presented. Furthermore, results of simulations and experiments with real robots are presented and discussed
We describe a framework for coordination and control of a group of nonholonomic mobile robots that a...
Abstract In this paper we show how non-linear attractor dynamics can be used as a framework to contr...
In this chapter, formation control of mobile robots with nonlinear models is considered. Two control...
In this paper we introduce a formation control loop that maximizes the performance of the cooperativ...
In this paper we introduce a formation control loop that maximizes the performance of the cooperativ...
The paper presents a study of a mobile multi-robot formation (MRF) control problem. The robots are n...
In this paper, we study the formation control problem for car-like mobile robots. A team of nonholon...
International audienceThis paper presents a new strategy for formation control of multiple mobile ro...
We investigate the leader-following formation control of mobile robots through the Model Predictive ...
Cooperative decision and control for mobile robot teams have been of great interest in the control c...
This paper presents a new method for controlling a group of nonholonomic mobile robots to achieve pr...
A model predictive control algorithm is developed for stabilizing a team of nonholonomic mobile robo...
This paper addresses the control of a leader-follower formation where the leader robot has its own t...
A model predictive control algorithm is developed for stabilizing a team of nonholonomic mobile robo...
In this paper, the formation control and obstacle avoidance problems are dealt with a unified contro...
We describe a framework for coordination and control of a group of nonholonomic mobile robots that a...
Abstract In this paper we show how non-linear attractor dynamics can be used as a framework to contr...
In this chapter, formation control of mobile robots with nonlinear models is considered. Two control...
In this paper we introduce a formation control loop that maximizes the performance of the cooperativ...
In this paper we introduce a formation control loop that maximizes the performance of the cooperativ...
The paper presents a study of a mobile multi-robot formation (MRF) control problem. The robots are n...
In this paper, we study the formation control problem for car-like mobile robots. A team of nonholon...
International audienceThis paper presents a new strategy for formation control of multiple mobile ro...
We investigate the leader-following formation control of mobile robots through the Model Predictive ...
Cooperative decision and control for mobile robot teams have been of great interest in the control c...
This paper presents a new method for controlling a group of nonholonomic mobile robots to achieve pr...
A model predictive control algorithm is developed for stabilizing a team of nonholonomic mobile robo...
This paper addresses the control of a leader-follower formation where the leader robot has its own t...
A model predictive control algorithm is developed for stabilizing a team of nonholonomic mobile robo...
In this paper, the formation control and obstacle avoidance problems are dealt with a unified contro...
We describe a framework for coordination and control of a group of nonholonomic mobile robots that a...
Abstract In this paper we show how non-linear attractor dynamics can be used as a framework to contr...
In this chapter, formation control of mobile robots with nonlinear models is considered. Two control...