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Line following robots requires image acquisition and processing algorithms for the determination of the line trajectory. The Viterbi algorithm is proposed for the estimation of the line trajectory in this paper. The robustness of this algorithm is verified using the Monte Carlo approach for two distortions types: additive Gaussian noise and false lines sets. The results show possibilities of reliable...
We address the problem of controlling a noisy differential drive mobile robot such that the probability of satisfying a specification given as a Bounded Linear Temporal Logic (BLTL) formula over a set of properties at the regions in the environment is maximized. We assume that the vehicle can precisely determine its initial position in a known map of the environment. However, inspired by practical...
This paper presents a new fuzzy controller for trajectory tracking for unicycle-like mobile robots, represented by a Takagi-Sugeno fuzzy model. Such controller allows setting different gains for the controller, according to the values of the velocity of the trajectory and the values of the tracking error. The noise inherent to the robot odometry is treated by the fuzzy controller itself, not requiring...
In this paper, perfect trajectory tracking control of a non-holonomic Wheeled Mobile Robot (WMR) is tackled. First, a Sliding Mode Controller (SMC) is proposed to convergence of WMR on desired position, velocity and orientation trajectories. Due to the weak performance of the SMC against exogenous inputs, a Mamdani-type fuzzy system is designed to improve the tracking performance of the controller...
In this paper, perfect trajectory tracking of a non-holonomic Wheeled Mobile Robot (WMR) is developed. The Feedback Linearization (FL) methods may be used to make convergence of WMRs on desired position, and orientation trajectories. Due to the weak performances against exogenous signals, the FL controller is replaced by a Sliding Mode Controller (SMC). Using the SMC with a saturation term may not...
We develop guidelines for the design and analysis of unmanned aerial vehicle (UAV) trajectories for the purpose of high-quality image reconstructions based on a tomographic framework for a downlooking multistatic SAR imaging system. Modern matrix analysis provides several tools to generate performance bounds, which we relate to physical parameters of the synthetic aperture radar (SAR) measurement...
Environment, sustainable development as well as new transportation service emergence in urban areas are major concerns. Consequently, studies are currently intended to automate electric vehicles designed for applications in free access. An additional functionality that appears very attractive is vehicle platooning. In order to avoid oscillations within the fleet when completing this task, a global...
Mapping and localization for indoor robotic navigation is a well-studied field. However, existing work largely relies on long range perceptive sensors in addition to the robot's odometry, and little has been done with short range sensors. In this paper, we propose a method for real-time indoor mapping using only short range sensors such as bumpers and/or wall sensors that enable wall-following. The...
Percutaneous interventions have attracted significant interest in recent years, but most approaches still rely on straight line trajectories between an entry site and a soft tissue target. Thus, to this day, a flexible probe able to bend along predefined curvilinear trajectories within a highly compliant medium without buckling is still an open research challenge. In this paper, we describe the concept...
In robotic applications the absolute pose is often obtained as the integral of successive relative rigid-body motions. As each relative rigid-body motion is typically the product of statistical inference, the integrated absolute pose will exhibit error build-up and the estimated trajectory will differ from the true trajectory undertaken by the system. Some application areas allow the system to receive...
We present a generalization of the Koenderink-van Doorn (KvD) algorithm that allows robust monocular localization with large motion between the camera frames for a wide range of optical systems including omnidirectional systems and standard perspective cameras. The KvD algorithm estimates simultaneously ego-motion parameters, i.e. rotation, translation, and object distances in an iterative way. However...
This paper presents a comparative study of a sliding-mode controller (SMC) and a cascaded proportional/proportional integral (P/PI) controller with zero-phase error tracking controller (ZPETC) and disturbance observer (DOB). The tests are performed on a new underwater grinding robot. The comparison is based on trajectory tracking performance and robustness to external disturbances, such as those induced...
The paper deals with the localization of mobile robot using the bearing only beacons as the only source of sensor data. The localization is based on Extended Kalman Filter. Derivation of localization algorithm is given together with test results for both simulation and real robot equipped with low cost sensor hardware. Beacons use infrared LEDs detected by the receiver on the robot and position estimator...
The research topic of autonomous underwater vehicles (AUVs) has attracted much attention over years since they provide marine researchers easy ways to access the ocean for surveying and site investigation, etc. To accomplish these applications, an AUV has to know its position accurately. Therefore, AUV localization is very important problem. In this paper, we propose an interactive multiple model...
The article consider the Cartesian trajectory tracking of wheeled mobile robots to be performed by a hybrid control scheme with feedforward inverse control and a state feedback that is only updated periodically and relies on a recursive convex replanning of the reference trajectory. This approach applied to the standard unicycle model is shown to maintain its efficacy also in presence of noise or...
This paper addresses a novel approach to the solution of the simultaneous localization and mapping (SLAM) problem bared on a neuro evolutionary optimization (NeoSLAM) method. The proposed algorithm first casts SLAM as a global optimization problem using the cost function which represents the quality of robot pose trajectory and the feature positions in world coordinate frame. In our algorithm, the...
Based on extended set-membership filter (ESMF) and the path planning method in relative velocity coordinates (RVCs), a new 3D multiple Unmanned Aerial Vehicle (UAV) systems active cooperative observation method, high precision cooperative observing a moving target by proper planning the behavior of each member vehicle, is proposed. The new method combines the ESMF based cooperative observation method...
In this paper, we propose an efficient solution to 6 degrees of freedom (6DOF) localization using unscented Kalman filter for planetary rovers. The solution is a technique augmented the unscented Kalman filter for accurate 6DOF localization, named augmented unscented Kalman filter (AUKF). The AUKF is designed to deal with problems which occur on other planets: wheel slip, visual odometry error, and...
Living organisms have various kinds of flexibility and robustness which are realized by ??yuragi,?? i.e. biological fluctuations or noises. Bacterial motion is a form of noise-based motion, since bacteria can move towards a higher concentration of some chemical which they prefer even though they have only a limited 1-DOF of flagella for mobility. Bacteria also have only a limited sensory device which...
Many biologically inspired approaches have been investigated in relation with researches on mobile robot(s) that can effectively locate targets that induce gradient information. Here, we concentrate on realizing an adaptive searching behavior in mobile robot that is simple, yet effective with and without sensing the gradient information. We are interested in two searching behaviors found in biological...
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