Papers by Keyword: Mobile Robot

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Authors: Jau Woei Perng, Chia Hui Tai, Chia Hao Kuo, Li Shan Ma
Abstract: This paper proposes a 3D environment mapping and pothole detection system by using a laser range finder for a mobile robot. The robot also equips two rotary encoders and an inertial measurement unit to deal with dead reckoning (DR). Through the coordinate transform method from 2D to 3D, each point in 3D coordinate could be calculated. This method is called mobile mapping system (MMS). In addition, the result for road damage is often caused by potholes. Therefore, the pothole detection is considered here by using a laser range finder and a camera. A human-machine interface is designed to record the data on the road including the location and environment. The experiment has been tested on the university road.
Authors: Tadeusz Mikolajczyk, Alberto Borboni, Xian Wen Kong, Tomasz Malinowski, Adrian Olaru
Abstract: The purpose of this paper is not to elaborate the bionic pattern of walking robot, but to elaborate our own simple idea of a 4 degree of freedom (DOF) walking robot with the ability to walk on flat surfaces, rotate and climbing upstairs, which is composed of vertical moved legs with a rotary foot and a controlled mass for stabilizing. In this paper, based on the former idea, a prototype model of a 3-DOF walking robot is presented for walking only on flat surfaces. This walking robot is actuated by servo motors. The paper covers the kinematics, centre of gravity analysis, description of the robot and its control system made using Pololu controller. Experiments confirmed the feasibility of the proposed design.
Authors: Ippei Nishitani, Tetsuya Matsumura, Mayumi Ozawa, Ayanori Yorozu, Masaki Takahashi
Abstract: An autonomous mobile robot in a human living space should be able to not only realize collision-free motion but also give way to humans depending on the situation. Although various reactive obstacle avoidance methods have been proposed, it is difficult to achieve such motion. On the other hand, 3D X-Y-T space path planning, which takes into account the motion of both the robot and the human in a look-ahead time horizon, is effective. This paper proposes a real-time obstacle avoidance method for an autonomous mobile robot that considers the robots dynamic constraints, the personal space, and human directional area based on grid-based 3D X-Y-T space path planning. The proposed method generates collision-free motion in which the robot can yield to humans. To verify the effectiveness of the proposed method, various experiments in which the humans position and velocity were estimated using laser range finders were carried out.
Authors: Xiao Dong Tan, Xu Wang, Pi Wei Song
Abstract: The environment of automated warehouse is complex. Path collision exists conflict between intelligent robot with unknown obstacles and intelligent mobile-robot, increasing the difficulty in multiple mobile robots path planning.To solve the problem, firstly working environmental model is established with traffic rules method and the grid method. Then the whole system adopts the idea of hierarchical cooperation for dynamic local and global path planning.By simulation this method is suitable for dynamic environment with known and unknown obstacles and effectively solve the problem of path planning for multiple mobile robots in automated warehouse.
Authors: Bo Zhu, Zhong Min Wang, Zhao Lin Liu
Abstract: Aiming to solve the problem of mobile robot path planning, environmental models are established by using grid method at first, each grid is treated as a neuron, and then the whole space is changed into a topology-form one with all neutral net. Secondly, biological inspired neural networks (BINN) method towards neutral net is adopted to complete path planning of mobile robot. Furthermore, non-optimal solutions potentially produced in neutral net are modified in BINN. Simulation experiments show the feasibility and effectiveness of BINN method.
Authors: Fang Jia, Kui Liu, De Cheng Xu
Abstract: To minimize the deficiency of the existing indoor location methods for mobile robots, the RSSI (received signal strength indication) model of WLAN is established. Then a combined location method for mobile robots based on DR (dead reckoning) and WLAN is proposed, which employs PMLA (probability matching location algorithm) and KF (Kalman filter) for information fusion. Simulation results reveal that the combined location approach works well in eliminating the cumulative error of DR and reducing the fluctuation of WLAN location. As a result, the proposed method is capable of enhancing the positioning accuracy of mobile robots to a certain extent, promising a low-cost and reliable location scheme for its development.
Authors: Zahari Taha, Jessnor Arif Mat Jizat
Abstract: In this paper a comparison of two approaches for collision avoidance of an automated guided vehicle (AGV) using monocular vision is presented. The first approach is by floor sampling. The floor where the AGV operates, is usually monotone. Thus, by sampling the floor, the information can be used to search similar pixels and establish the floor plane in its vision. Therefore any other objects are considered as obstacles and should be avoided. The second approach employs the Canny edge detection method. The Canny edge detection method allows accurate detection, close to real object, and minimum false detection by image noise. Using this method, every edge detected is considered to be part of an obstacle. This approach tries to avoid the nearest obstacle to its vision. Experiments are conducted in a control environment. The monocular camera is mounted on an ERP-42 Unmanned Solution robot platform and is the sole sensor providing information for the robot about its environment.
Authors: Bashra Kadhim Oleiwi, Hubert Roth, Bahaa I. Kazem
Abstract: In this study, we developed an Ant Colony Optimization (ACO) - Genetic Algorithm (GA) hybrid approach for solving the Multi objectives Optimization global path planning (MOPP) problem of mobile robot. The ACO optimization algorithm is used to find the sub-optimal collision free path which then used as initial population for GA. In the proposed modified genetic algorithms, specific genetic operator such as deletion operator is proposed, which is based on domain heuristic knowledge, to fit the optimum path planning for mobile robots. The objective of this study is improving GA performance for efficient and fast selection in generating the Multi objective optimal path for mobile robot navigation in static environment. First we used the proposed approach to evaluate its ability to solve single objective problem in length term as well as we compared it with traditional ACO and simple GA then we extended to solve Pareto optimality ideas based on three criteria: length, smoothness and security, and making it Multi objective Hybrid approach. The proposed approach is tested to generate the single and multi objective optimal collision free path. The simulation results show that the mobile robot travels successfully from one location to another and reaches its goal after avoiding all obstacles that are located in its way in all tested environment and indicate that the proposed approach is accurate and can find a set Pareto optimal solution efficiently in a single run.
Authors: Kan Feng Gu, Guo Yong Yang
Abstract: The problem of traversing obstacles for a six-wheeled rocker bogie lunar rover is presented. Based on the analysis of forces and rover movement track angle, a criterion to determine traversing obstacles ability for the rover is developed to predict whether the robot can overcome current obstacle. The concept of traversing obstacles ability index is presented, which can be used to describe the trafficability of the rover quantificationally. The caculated results of wheels driving torques by this method can be used as a reference for confirming appropriate driving torque with the wheels during they challenge the terrain. A numerical example is given to illustrate our method.
Authors: Zhi Qi Zhao, Jian Dong Fang
Abstract: Presents a fuzzy logic inference algorithm based on the feature of concentration difference to solve the problem of odor source spatial positioning to mobile robot. The algorithm simulates the dynamic stimulation’s behavior of merit, let the robot to make decisions on the direction of travel by sensing the rate of change of concentration in different positions, and finally achieve the function of autonomous positioning to odor source. Let the robot's actual environment as the premise, design a fuzzy inference machine, and determine the fuzzy inference machine’s input variables, output variables, language value of input and output and corresponding fuzzy inference rules. Simulation results show that the proposed fuzzy logic algorithm has a strong applicability on bionic odor source spatial positioning to mobile robot; it can make the robot search to the odor source faster and more accurate.
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