In this paper, a fuzzy neural network based predefined-time trajectory tracking control method is proposed for the problem of omnidirectional mobile robots (FM-OMR) with uncertainties. Considering requirement error convergence time, position controller on stability proposed. Compared traditional method, minimum upper bound time can be explicitly set. order to obtain more accurate angular veloci...

This paper introduces an optical flow based odometry solution for indoor mobile robots. The indoor localization of mobile robots is an important issue according to the increasing mobile robot market and the needs of the industrial, service and consumer electronics sectors. The robot odometry calculated from the robot kinematics accumulates the position error caused by the wheel slip but an opti...

For mobile robots to be able to work with and for people and thus operate in our everyday environments, they need to be able to acquire knowledge through perception. In other words they need to collect sensor measure­ ments from which they extract meaningful information. This thesis covers some of the essential components of a robot perception system combining omnidirectional vision, odometry, ...

An omnidirectional mobile manipulator, due to its large-scale mobility and dexterous manipulability, has attracted lots of attention in the last decades. However, modeling and control of such systems are very challenging because of their complicated mechanism. In this article, an unified dynamic model is developed by Lagrange Formalism. In terms of the proposed model, an adaptive integrated tra...

designing the self-balancing two-wheeled mobile robots and reducing undesired vibrations are of great importance. for this purpose, the majority of researches are focused on application of relatively complex control approaches without improving the robot structure. therefore, in this paper we introduce a new two-wheeled mobile robot which, despite its relative simple structure, fulfills the req...

This paper presents a performance analysis of omnidirectional vision based Simultaneous Localization and Mapping (SLAM). In omnidirectional vision based SLAM; robots perform vision based SLAM using only monocular omnidirectional cameras. In this paper, we mainly investigate the use of an omnidirectional camera for Extended Kalman Filter (EKF) based SLAM. To evaluate the success of omnidirection...

Omnidirectional vision sensors are very attractive for autonomous robots because they offer a rich source of environment information. The main challenge in using these for mobile robots is managing this wealth of information. A relatively recent approach is the use of fast wide baseline local features, which we developed and use in the novel sparse visual path following method described in this...

We describe a framework for cooperative control of a group of nonholonomic mobile robots that allows us to build complex systems from simple controllers and estimators. The resultant modular approach is attractive because of the potential for reusability. Our approach to composition also guarantees stability and convergence in a wide range of tasks. There are two key features in our approach: 1...