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A tractor-trailer wheeled robot (TTWR) is a kind of modular robotic system that consist of the tractor and the trailer are mechanically coupled to each other. It is impossible to obtain an exact dynamics model due to unknown parameters, or unpredictable and irregular features, external disturbance. Because of the non-holonomic constraints property, this paper proposes an adaptive robust cascade controller...
This article examines the experimental issues associated with the area coverage problem using a network of mobile robots. The developed schemes in the literature assume an unrealistic perfect knowledge of each point-robot's position. To account for the imprecise robots' localization, the covered space partitioning relies on the Guaranteed Voronoi (GV) principle, under the assumption of uniform radial...
Omnidirectional mobile robots with four Mecanum wheels are used in various homes, military, nuclear power plant, industrial, hospital and space applications. A lot of research has been done using three universal wheels but trajectory control for four Mecanum wheeled mobile robot (FMWMR) in presence of uncertainties still needs attention. Thus, to obtain smooth motion of mobile robots, with chattering...
We consider the problem of self-localisation for a mobile robot in an environment with a requested level of accuracy. The robot moves in a known environment following typical trajectories, which can be characterised in statistical terms. One of the main drivers of this paper is its application to assistive robots guiding senior or impaired users in shopping centres or in other public spaces. To localise...
We provide a new adaptive controller for curve tracking in the plane under unknown curvature. We prove a global asymptotic stability theorem that ensures tracking of the curve and convergence of the curvature estimate to the unknown curvature. Our curvature identification result is an improvement over the known adaptive curve tracking results, which do not ensure parameter identification, or which...
This paper addresses the formation control problem of a multi-agent system (MAS) under the leader-follower scheme. Thus, the followers must to keep a desired relative distance with respect to the leader trajectory against known and constant communication delay. Thus, in order to ensured the coordinated behavior and formation control against parametric uncertainties and external disturbances, a decentralized...
The kinematic model of a wheeled mobile robot is considered to be not very accurate; this imprecision is due to several uncertain geometric parameters expressed in the form of scale factors. Naturally, these geometric uncertainties have an adverse influence on the output computed using this kinematic model. In this paper, the imprecise inverse kinematic model of a wheeled mobile robot is studied in...
Recent successful approaches to autonomous vehicle localisation and navigation typically involve 3D LIDAR scanners and a static, curated 3D map, both of which are expensive to acquire and maintain. In this paper we propose an experience-based approach to matching a local 3D swathe built using a push-broom 2D LIDAR to a number of prior 3D maps, each of which has been collected during normal driving...
This work presents an adaptive fuzzy cerebellar model articulation controller (AFCMAC) for solving the tracking control problem for an omni-directional mobile robot. First, fuzzy logic and CMAC are combined, coupled with a triangular basis function that is embedded in the hypercube receptive-field space to yield non-constant differentiable basis functions, which simplify the complex structure and...
We propose an integrated learning and planning framework that leverages knowledge from a human user along with prior information about the environment to generate trajectories for scientific data collection. The proposed framework combines principles from probabilistic planning with uncertainty modeling through nonparametric Bayesian methods to refine trajectories for execution by autonomous vehicles...
In this endeavor, a hybrid control strategy has been proposed for composite path tracking control of a nonholonomic wheeled mobile robotic (WMR) system under parametric and nonparametric uncertainties. A WMR, often in practical circumstances, undergoes through various parametric changes. Moreover, modeling of WMR in presence of friction, slip or skid, backlash etc. is very difficult. These factors,...
We present a motion planning framework for autonomous on-road driving considering both the uncertainty caused by an autonomous vehicle and other traffic participants. The future motion of traffic participants is predicted using a local planner, and the uncertainty along the predicted trajectory is computed based on Gaussian propagation. For the autonomous vehicle, the uncertainty from localization...
This paper deals with the problem of tracking control of the mobile robot with non-holonomic constraint. A controller with two control loops is designed. The inner loop generates control laws for the tangent and angular velocities to control the robot to follow the target trajectory. It is derived based on the robot kinematics and the Lyapunov theory. The outer loop employs the torque method to control...
In this paper, a finite-time convergent integral sliding-mode controller (FTC-ISMC) is proposed for trajectory control of an omni-directional mobile robot (ODMR). This control scheme combines the techniques of terminal attractor approach and integral sliding-mode control which can drive the error states and error rate states to zero in finite time. All the simulation results demonstrate the effectiveness...
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...
In this paper, a sliding mode controller with a generalized H2 performance is proposed for a unicycle-like mobile robot to implement the trajectory tracking mission. First, a kinematic controller is introduced for the mobile robot and generating the desired values of the linear and angular velocity for the dynamic controller. Secondly, a dynamic controller based on the sliding mode control with a...
In this paper, a robust disturbance attenuation control scheme for Wheeled Moving Robot (WMR) with actuator saturations is proposed. First, tracking error dynamics of WMR considering disturbances is represented by uncertain Tagaki-Sugeno (T-S) fuzzy model, where varying velocity in desired trajectory is look as uncertain parameter. then a constrained robust H¡Þcontroller in the form of state feedback...
In the beginning, the kinematic model, dynamic model of a differential mobile robot (DMR), and the dynamic model of left- and right-wheel DC motors are combined to be a controlled system. The control inputs of the proposed controlled system include the input voltages for the left- and right-wheel motors, i.e., two inputs. On the other hand, the system outputs contain two-dimension position and its...
This paper considers the design of an adaptive trajectory tracking control strategy of nonholonomic wheeled mobile robots which is based on H∞ control method. Kinematics control laws of mobile robots is well known, therefore, developing the dynamics control is focused. It is shown that the resulting dynamics control strategy can compensate not only the physical parameters of mobile robot, but also...
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...
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