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Author

Hamid Taheri

Bio: Hamid Taheri is an academic researcher. The author has contributed to research in topics: Mobile robot & Mecanum wheel. The author has an hindex of 1, co-authored 2 publications receiving 59 citations.

Papers
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Journal ArticleDOI
TL;DR: The design of an omnidirectional universal mobile platform for Omni-directional Robots and its implementation at the National University of Singapore, 2005.
Abstract: O. Diegel, A. Badve, G. Bright, J. Potgieter, and S. Tlale, "Improved Mecanum Wheel Design for Omni-directional Robots," no. November, pp. 27–29, 2002. I. Doroftei, V. Grosu, and V. Spinu, Omnidirectional Mobile Robot Design and Implementation, Bioinspiration and Robotics Walking and Climbing Robots, no. September. I-Tech, 2007. R. P. A. van Haendel, "Design of an omnidirectional universal mobile platform," National University of Singapore, 2005.

83 citations

Journal ArticleDOI
TL;DR: A holonomic motion model based on geometric relationships between a robot’s laser-scanner and the landmarks in the environment is introduced and can be used along with a common robot's motion model to further reduce the uncertainties in motion.
Abstract: Wheeled Mobile Robot (WMR) navigation is subjected to noise that brings several factors of uncertainties in the robot’s motion positioning as well as pose tracking. The uncertainty in motion makes the robot’s pose-tracking to be a difficult task. Motion models have been designed to track the robot poses within trajectories based on the robot’s inertial velocitybased information or the odometry readings obtained from its wheel encoders. This paper introduces a holonomic motion model based on geometric relationships between a robot’s laser-scanner and the landmarks in the environment. The laser-scanner is attached to an Omnidirectional Mobile Robot (OMR) capable of holonomic drive and thus the observationbased motion-tracking approach can capture the trajectory obtained of holonomic motions as well. In this method, despite the pioneering methods, the pose information in the laser-base-frame is used instead of the robot’s inertial information. In this way, a different perspective of sensing is provided that can enhance the robot’s pose tracking task. The method can be used along with a common robot’s motion model to further reduce the uncertainties in motion. The experiment is conducted based on a KUKA Youbot equipped with a Hokuyo URG-04lx laser range scanner in its front that suggests that the method can successfully track the robot’s trajectory with a good level of consistency in restricted areas where the landmark distribution has covered the whole trajectory.

Cited by
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Journal ArticleDOI
TL;DR: The proposed model is used to construct an algorithm for calculating control actions for trajectories characterizing the high maneuverability of the mobile robot.
Abstract: In this article, a dynamical model for controlling an omniwheel mobile robot is presented. The proposed model is used to construct an algorithm for calculating control actions for trajectories char...

37 citations

Journal ArticleDOI
TL;DR: The important background works regarding each wheel mechanism are presented, the most important wheel mechanisms are presented and the current trending approaches are presented to assist designers and researchers to select appropriate mechanism and control approach fit to their requirements.

33 citations

Journal ArticleDOI
21 Dec 2019-Sensors
TL;DR: A modified inverse kinematic model can effectively reduce the errors of robot motion caused by wheel slippage and improve the motion accuracy of the mobile robot system.
Abstract: In industry, combination configurations composed of multiple Mecanum-wheeled mobile robots are adopted to transport large-scale objects. In this paper, a kinematic model with velocity compensation of the combined mobile system is created, aimed to provide a theoretical kinematic basis for accurate motion control. Motion simulations of a single four-Mecanum-wheeled virtual robot prototype on RecurDyn and motion tests of a robot physical prototype are carried out, and the motions of a variety of combined mobile configurations are also simulated. Motion simulation and test results prove that the kinematic models of single- and multiple-robot combination systems are correct, and the inverse kinematic correction model with velocity compensation matrix is feasible. Through simulations or experiments, the velocity compensation coefficients of the robots can be measured and the velocity compensation matrix can be created. This modified inverse kinematic model can effectively reduce the errors of robot motion caused by wheel slippage and improve the motion accuracy of the mobile robot system.

23 citations

Book ChapterDOI
01 Jan 2018
TL;DR: This paper addresses automated mapping of the remaining wall thickness of metallic pipelines in the field by means of an inspection robot equipped with Non-Destructive Testing (NDT) sensing by demonstrating the feasibility of the device and sensing configuration to provide meaningful 2.5D geometric maps.
Abstract: This paper addresses automated mapping of the remaining wall thickness of metallic pipelines in the field by means of an inspection robot equipped with Non-Destructive Testing (NDT) sensing. Set in the context of condition assessment of critical infrastructure, the integrity of arbitrary sections in the conduit is derived with a bespoke robot kinematic configuration that allows dense pipe wall thickness discrimination in circumferential and longitudinal direction via NDT sensing with guaranteed sensing lift-off (offset of the sensor from pipe wall) to the pipe wall, an essential barrier to overcome in cement-lined water pipelines. The data gathered represents not only a visual understanding of the condition of the pipe for asset managers, but also constitutes a quantative input to a remaining-life calculation that defines the likelihood of the pipeline for future renewal or repair. Results are presented from deployment of the robotic device on a series of pipeline inspections which demonstrate the feasibility of the device and sensing configuration to provide meaningful 2.5D geometric maps.

17 citations