scholarly journals Rapid Development of a Mobile Robot for the Nakanoshima Challenge Using a Robot for Intelligent Environments

2020 ◽  
Vol 32 (6) ◽  
pp. 1211-1218
Author(s):  
Tomohiro Umetani ◽  
◽  
Yuya Kondo ◽  
Takuma Tokuda
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Rapid Development ◽  
Field Tests ◽  
Intelligent Environments ◽  
Mobile Platforms ◽  
Robot System ◽  
Location Data ◽  
Localization And Mapping ◽  
Outdoor Environments

Automated mobile platforms are commonly used to provide services for people in an intelligent environment. Data on the physical position of personal electronic devices or mobile robots are important for information services and robotic applications. Therefore, automated mobile robots are required to reconstruct location data in surveillance tasks. This paper describes the development of an autonomous mobile robot to achieve tasks in intelligent environments. In particular, the robot constructed route maps in outdoor environments using laser imaging detection and ranging (LiDAR), and RGB-D sensors via simultaneous localization and mapping. The mobile robot system was developed based on a robot operating system (ROS), reusing existing software. The robot participated in the Nakanoshima Challenge, which is an experimental demonstration test of mobile robots in Osaka, Japan. The results of the experiments and outdoor field tests demonstrate the feasibility of the proposed robot system.

Formulations about Dynamics of Mobile Robots

2010 ◽  
Vol 166-167 ◽  
pp. 309-314 ◽  
Author(s):  
Iuliu Negrean ◽  
Claudiu Schonstein ◽  
Kalman Kacso ◽  
Calin Negrean ◽  
Adina Duca
Keyword(s):  
Kinetic Energy ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Dynamic Control ◽  
Nonholonomic Constraints ◽  
The Other ◽  
Robot Motion ◽  
Mobile Platforms ◽  
Control Functions ◽  
New Concepts

In this paper the dynamics equations for a mobile robot, named PatrolBot, will be developed, using new concepts in advanced mechanics, based on important scientific researches of the main author, concerning the kinetic energy. In keeping the fact that the mathematical models of the mobile platforms are different besides the other robots types, due to nonholonomic constraints, these dynamic control functions, will be computed, according to these restrictions for robot motion.

DEVELOPMENT OF LEADER AND FOLLOWER STRATEGY FOR SWARM ROBOT APPLICATIONS

2015 ◽  
Vol 77 (28) ◽  
Author(s):  
Humairah Mansor ◽  
Abdul Hamid Adom ◽  
Norasmadi Abdul Rahim
Keyword(s):  
Wireless Communication ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Communication Strategy ◽  
Robot System ◽  
Testing Environment ◽  
Odour Source ◽  
Wide Range ◽  
Robust System ◽  
Swarm Robot

Swarming robots basically consist of a group of several simple robots that interact and collaborate with each other to achieve shared goals. A single robot system is not suitable to be used as an agent for the navigation usually covers a wide range of area. Therefore, a group of simple robots is introduced. A group of robots can perform their tasks together in a more efficient way compared to a single robot; hence develop a more robust system. In order to interact, a wireless communication strategy is implemented to enable the group of mobile robots to perform their tasks. This project implements the swarming algorithm by supplementing the ability of mobile robot platforms with autonomy and odour detection. The work focused on the localization of chemical odour source in the testing environment and the leader and follower swarm formation through wireless communication. To enable the mobile robots to communicate with each other and able to perform leader and follower designation once the target has been found, the RSSI value of X-Bee module is used.

Using Global Appearance Descriptors to Solve Topological Visual SLAM

2019 ◽  
pp. 1127-1140
Author(s):  
Lorenzo Fernández Rojo ◽  
Luis Paya ◽  
Francisco Amoros ◽  
Oscar Reinoso
Keyword(s):  
Computer Vision ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Simultaneous Localization And Mapping ◽  
Visual Slam ◽  
Sources Of Information ◽  
Topological Approach ◽  
Unknown Environment ◽  
Localization And Mapping ◽  
Omnidirectional Images

Mobile robots have extended to many different environments, where they have to move autonomously to fulfill an assigned task. With this aim, it is necessary that the robot builds a model of the environment and estimates its position using this model. These two problems are often faced simultaneously. This process is known as SLAM (simultaneous localization and mapping) and is very common since when a robot begins moving in a previously unknown environment it must start generating a model from the scratch while it estimates its position simultaneously. This chapter is focused on the use of computer vision to solve this problem. The main objective is to develop and test an algorithm to solve the SLAM problem using two sources of information: (1) the global appearance of omnidirectional images captured by a camera mounted on the mobile robot and (2) the robot internal odometry. A hybrid metric-topological approach is proposed to solve the SLAM problem.

SAVIC: A SIMULATION, VISUALIZATION AND INTERACTIVE CONTROL ENVIRONMENT FOR MOBILE ROBOTS

1993 ◽  
Vol 07 (01) ◽  
pp. 123-144 ◽  
Author(s):  
CHUXIN CHEN ◽  
MOHAN M. TRIVEDI
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Virtual World ◽  
Control Environment ◽  
Robot System ◽  
Interactive Control ◽  
Dynamic Motion ◽  
Unique System ◽  
Software Modules ◽  
And Control

A Simulation, Animation, Visualization and Interactive Control (SAVIC) environment has been developed for the design and operation of an integrated robotic manipulator system. This unique system possesses the abilities for (1) multi-sensor simulation, (2) kinematics and locomotion animation, (3) dynamic motion and manipulation animation, (4) transformation between real and virtual modes within the same graphics system, (5) ease in exchanging software modules and hardware devices between real and virtual world operations, and (6) interfacing with a real robotic system. This research is focused on enhancing the overall productivity of an integrated human-robot system. This paper describes a working system and illustrates the concepts by presenting the simulation, animation and control methodologies for a unique mobile robot with articulated tracks, a manipulator, and sensory modules.

scholarly journals An Autonomous Robot-Aided Auditing Scheme for Floor Cleaning

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4332
Author(s):  
Thejus Pathmakumar ◽  
Manivannan Kalimuthu ◽  
Mohan Rajesh Elara ◽  
Balakrishnan Ramalingam
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Density Estimation ◽  
Research Work ◽  
Kernel Density ◽  
Fundamental Question ◽  
Outdoor Environments ◽  
Audit Score ◽  
Density Map

Cleaning is an important factor in most aspects of our day-to-day life. This research work brings a solution to the fundamental question of “How clean is clean” by introducing a novel framework for auditing the cleanliness of built infrastructure using mobile robots. The proposed system presents a strategy for assessing the quality of cleaning in a given area and a novel exploration strategy that facilitates the auditing in a given location by a mobile robot. An audit sensor that works by the “touch and inspect” analogy that assigns an audit score corresponds to its area of inspection has been developed. A vision-based dirt-probability-driven exploration is proposed to empower a mobile robot with an audit sensor on-board to perform auditing tasks effectively. The quality of cleaning is quantified using a dirt density map representing location-wise audit scores, dirt distribution pattern obtained by kernel density estimation, and cleaning benchmark score representing the extent of cleanliness. The framework is realized in an in-house developed audit robot to perform the cleaning audit in indoor and semi-outdoor environments. The proposed method is validated by experiment trials to estimate the cleanliness in five different locations using the developed audit sensor and dirt-probability-driven exploration.

scholarly journals Method for SLAM Based on Omnidirectional Vision: A Delayed-EKF Approach

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Rodrigo Munguía ◽  
Carlos López-Franco ◽  
Emmanuel Nuño ◽  
Adriana López-Franco
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Autonomous Navigation ◽  
Real Data ◽  
Omnidirectional Vision ◽  
Wide Field ◽  
Visual Sensor ◽  
Cluttered Environments ◽  
Localization And Mapping ◽  
Wide Field Of View

This work presents a method for implementing a visual-based simultaneous localization and mapping (SLAM) system using omnidirectional vision data, with application to autonomous mobile robots. In SLAM, a mobile robot operates in an unknown environment using only on-board sensors to simultaneously build a map of its surroundings, which it uses to track its position. The SLAM is perhaps one of the most fundamental problems to solve in robotics to build mobile robots truly autonomous. The visual sensor used in this work is an omnidirectional vision sensor; this sensor provides a wide field of view which is advantageous in a mobile robot in an autonomous navigation task. Since the visual sensor used in this work is monocular, a method to recover the depth of the features is required. To estimate the unknown depth we propose a novel stochastic triangulation technique. The system proposed in this work can be applied to indoor or cluttered environments for performing visual-based navigation when GPS signal is not available. Experiments with synthetic and real data are presented in order to validate the proposal.

Application of Mobile Robot System for Cell Production

2013 ◽  
Vol 300-301 ◽  
pp. 566-571
Author(s):  
Keishi Matsuda ◽  
Hidenori Ishihara
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Knowledge Sharing ◽  
Cost Reduction ◽  
Robot System ◽  
Cell Production ◽  
Multiple Robot ◽  
The Cost ◽  
Sophisticated Algorithm

In this paper, we have discussed on the performance of the knowledge sharing for the multiple robot system which is equipped with the advanced telecommunication devices. This has enabled the mobile robots to perform advanced communication. We propose the utilization of the knowledge sharing robot system at manufacturing scenes, and demonstrate the performance by a simplified simulation. Applying this knowledge sharing system, which helps to improve the balance of the line, the improvement of the productivity and quality was observed. Consequently, the cost reduction and improvement of the efficiency shall be expected by introducing more sophisticated algorithm of knowledge sharing and distribution.

Maps for Mobile Robots

2013 ◽  
pp. 254-297
Keyword(s):  
Mobile Robot ◽  
Mathematical Models ◽  
Mobile Robots ◽  
Sensory Data ◽  
The Third ◽  
Localization And Mapping ◽  
Intrinsic Feature

This is the first chapter of the third section. It describes the kinds of mathematical models usable by a mobile robot to represent its spatial reality, and the reasons by which some of them are more useful than others, depending on the task to be carried out. The most common metric, topological, and hybrid map representations are described from an introductory viewpoint, emphasizing their limitations and advantages for the localization and mapping problems. It then addresses the problem of how to update or build a map from the robot raw sensory data, assuming known robot positions, a situation that becomes an intrinsic feature of some SLAM filters. Since the process greatly depends on the kind of map and sensors, the most common combinations of both are shown.

Using Global Appearance Descriptors to Solve Topological Visual SLAM

2018 ◽  
pp. 6894-6905
Author(s):  
Lorenzo Fernández Rojo ◽  
Luis Paya ◽  
Francisco Amoros ◽  
Oscar Reinoso
Keyword(s):  
Computer Vision ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Simultaneous Localization And Mapping ◽  
Visual Slam ◽  
Sources Of Information ◽  
Topological Approach ◽  
Unknown Environment ◽  
Localization And Mapping ◽  
Omnidirectional Images

Nowadays, mobile robots have extended to many different environments, where they have to move autonomously to fulfill an assigned task. With this aim, it is necessary that the robot builds a model of the environment and estimates its position using this model. These two problems are often faced simultaneously. This process is known as SLAM (Simultaneous Localization and Mapping) and is very common since when a robot begins moving in a previously unknown environment it must start generating a model from the scratch while it estimates its position simultaneously. This work is focused on the use of computer vision to solve this problem. The main objective is to develop and test an algorithm to solve the SLAM problem using two sources of information: (a) the global appearance of omnidirectional images captured by a camera mounted on the mobile robot and (b) the robot internal odometry. A hybrid metric-topological approach is proposed to solve the SLAM problem.

Fast, Accurate Sonar-Ring System

2004 ◽  
Vol 16 (1) ◽  
pp. 44-53
Author(s):  
Teruko Yata ◽  
◽  
Akihisa Ohya ◽  
Jun’ichi Iijima ◽  
Shin’ichi Yuta
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
System Design ◽  
Ring System ◽  
Experimental Results ◽  
Single Measurement ◽  
Robot System ◽  
Distance Information ◽  
Design And Implementation ◽  
Robot System Design

Mobile robots often require distance to objects surrounding them for navigation tasks. The sonar ring is widely used to measure distance because it is easy to use and provides distance information all around the robot. Although accurate in range, a sonar ring has difficulty determining bearings to surrounding objects. Conventional sonar rings are slow in covering a full 360 degrees due to sequential driving of transducers for avoiding interference. In this paper, we propose a new sonar-ring sensor system for a mobile robot that can accurately measure bearing angles to objects in a single measurement. The proposed system simultaneously transmits and receives ultrasound in all directions and measures time-of-flight (TOF) differences, achieving fast, accurate measurement of points reflected around a robot. System design and implementation of the proposed sonar ring are also described and the effectiveness of the proposed system shown by experimental results.

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