Self-Position Detection System Using a Visual-Sensor for Mobile Robots

1999 ◽  
Vol 11 (1) ◽  
pp. 17-24
Author(s):  
Takayuki Tanaka ◽  
◽  
Yasunori Yamazaki ◽  
Hiroki Watanabe ◽  
Takeshi Katae ◽  
...  

We have been developing an intelligent mobile robot for use as an office building secretary or aid during the day and a security guard or maintenance engineer, e.g., for cleaning floors, at night. Since the robot works and moves autonomously among people in an office environment, it must be able to recognize its own location and environment. We proposed two types of self-positoin detection based on a visual sensor. One is global self-positioning (GSP) by recognizing a room number. The other is local self-positioning (LSP) calculating the relationship between the robot and three light landmarks such as two exit lamps and a fire hydrant lamp in corridors. Experiments verified the effectiveness of the robot's self-position detection.

1999 ◽  
Vol 11 (1) ◽  
pp. 1-1
Author(s):  
Kiyoshi Komoriya ◽  

Mobility, or locomotion, is as important a function for robots as manipulation. A robot can enlarge its work space by locomotion. It can also recognize its environment well with its sensors by moving around and by observing its surroundings from various directions. Much researches has been done on mobile robots and the research appears to be mature. Research activity on robot mobility is still very active; for example, 22% of the sessions at ICRA'98 - the International Conference on Robotics and Automation - and 24% of the sessions at IROS'98 - the International Conference on Intelligent Robots and Systems - dealt with issues directly related to mobile robots. One of the main reasons may be that intelligent mobile robots are thought to be the closest position to autonomous robot applications. This special issue focuses on a variety of mobile robot research from mobile mechanisms, localization, and navigation to remote control through networks. The first paper, entitled ""Control of an Omnidirectional Vehicle with Multiple Modular Steerable Drive Wheels,"" by M. Hashimoto et al., deals with locomotion mechanisms. They propose an omnidirectional mobile mechanism consisting of modular steerable drive wheels. The omnidirectional function of mobile mechanisms will be an important part of the human-friendly robot in the near future to realize flexible movements in indoor environments. The next three papers focus on audiovisual sensing to localize and navigate a robot. The second paper, entitled ""High-Speed Measurement of Normal Wall Direction by Ultrasonic Sensor,"" by A. Ohya et al., proposes a method to measure the normal direction of walls by ultrasonic array sensor. The third paper, entitled ""Self-Position Detection System Using a Visual-Sensor for Mobile Robots,"" is written by T. Tanaka et al. In their method, the position of the robot is decided by measuring marks such as name plates and fire alarm lamps by visual sensor. In the fourth paper, entitled ""Development of Ultra-Wide-Angle Laser Range Sensor and Navigation of a Mobile Robot in a Corridor Environment,"" written by Y Ando et al., a very wide view-angle sensor is realized using 5 laser fan beam projectors and 3 CCD cameras. The next three papers discussing navigation problems. The fifth paper, entitled ""Autonomous Navigation of an Intelligent Vehicle Using 1-Dimensional Optical Flow,"" by M. Yamada and K. Nakazawa, discusses navigation based on visual feedback. In this work, navigation is realized by general and qualitative knowledge of the environment. The sixth paper, entitled ""Development of Sensor-Based Navigation for Mobile Robots Using Target Direction Sensor,"" by M. Yamamoto et al., proposes a new sensor-based navigation algorithm in an unknown obstacle environment. The seventh paper, entitled ""Navigation Based on Vision and DGPS Information for Mobile Robots,"" S. Kotani et al., describes a navigation system for an autonomous mobile robot in an outdoor environment. The unique point of their paper is the utilization of landmarks and a differential global positioning system to determine robot position and orientation. The last paper deals with the relationship between the mobile robot and computer networks. The paper, entitled ""Direct Mobile Robot Teleoperation via Internet,"" by K. Kawabata et al., proposes direct teleoperation of a mobile robot via the Internet. Such network-based robotics will be an important field in robotics application. We sincerely thank all of the contributors to this special issue for their cooperation from the planning stage to the review process. Many thanks also go to the reviewers for their excellent work. We will be most happy if this issue aids readers in understanding recent trends in mobile robot research and furthers interest in this research field.


2014 ◽  
Vol 1079-1080 ◽  
pp. 909-912 ◽  
Author(s):  
Tsing Tshih Tsung ◽  
Thi Khanh Tang ◽  
Nguyen Hoai

Non-contactingproximity sensors are widely promoted for position detection through determiningthe distance between sensor and object. Besides, the usage of non-contactinginductive proximity sensors for object detections such as finding non-ferrousand ferrous metal tape is the popular technique in mobile robots. Most of thetechnology uses simple HF- oscillation principle as an inductive proximitysensor (IPS) with a decrease in the quality of the oscillator circuit’selectromagnetic to find the tape. By applying this technique, the externalfactors may cause negative effects to systemperformance. To overcome this situation, we set up a hand measurement withinductive proximity sensors and two tapes, meanwhile main tape and disturbingtape are separated by an obstruction sheet. After measuring, dataresults are used to analyze the influence of the obstruction sheet thickness anddisturbance tape to the noise in received signals. The research isthe fundament for further applications, based on inductive proximity sensor formobile robot that could be more robust against noises and disturbances.


1991 ◽  
Vol 3 (5) ◽  
pp. 379-386
Author(s):  
Hesin Sai ◽  
◽  
Yoshikuni Okawa

As part of a guidance system for mobile robots operating on a wide and flat floor, such as an ordinary factory or a gymnasium, we have proposed a special-purpose sign. It consists of a cylinder, with four slits, and a fluorescent light, which is placed on the axis of the cylinder. Two of the slits are parallel to each other, and the other two are angled. A robot obtains an image of the sign with a TV camera. After thresholding, we have four bright sets of pixels which correspond to the four slits of the cylinder. We compute by measuring the relative distances between the four points, the distance and the angle to the direction of the sign can be computed using simple geometrical equations. Using a personal computer with an image processing capability, we have investigated the accuracy of the proposed position identification method and compared the experimental results against the theoretical analysis of measured error. The data shows good coincidence between the analysis and the experiments. Finally, we have built a movable robot, which has three microprocessors and a TV camera, and performed several control experiments for trajectory following.


2010 ◽  
Vol 166-167 ◽  
pp. 309-314 ◽  
Author(s):  
Iuliu Negrean ◽  
Claudiu Schonstein ◽  
Kalman Kacso ◽  
Calin Negrean ◽  
Adina Duca

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.


Author(s):  
Alexander Stoytchev ◽  
◽  
Ronald C. Arkin

This paper describes a hybrid mobile robot architecture that addresses three main challenges for robots living in human-inhabited environments: how to operate in dynamic and unpredictable environment, how to deal with high-level human commands, and how to engage human users. The architecture combines three components: deliberative planning, reactive control, and motivational drives. It has been proven useful for controlling mobile robots in man-made environments. Results are reported for a fax delivery mission in a normal office environment.


2012 ◽  
Vol 239-240 ◽  
pp. 84-87
Author(s):  
Bîtea Mihai-Alin ◽  
Dolga Valer

The ultrasound sensor imitates the bats and the other animals’ abilities to use ultrasound frequencies for navigation in order to determine the distance between them and the obstacles. These sensors are recommended to be used for difficult applications, in gasiform environments and represent one of the mobile robot’s sensor options. Our purpose of this study lies in presenting a method of detecting the distance between the mobile robot and obstacles and recording it, and in the same time the possibility of implementing it in order for it to be used by individuals (subjects) in applied studies.


2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Rodrigo Munguía ◽  
Carlos López-Franco ◽  
Emmanuel Nuño ◽  
Adriana López-Franco

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.


1993 ◽  
Vol 5 (4) ◽  
pp. 388-400
Author(s):  
Jun'ichi Takeno ◽  
◽  
Naoto Mizuguchi ◽  
Sakae Nishiyama ◽  
Kanehiro Sorimachi ◽  
...  

Of primary importance for mobile robots is their smooth movement to the targeted destination. To achieve this purpose, mobile robots must be able to detect a person in their environment, another mobile robot, or an object not described in the map and to avoid collision with it. Recognizing the strong need for providing robots with a visual system to evade obstacles, the authors first developed a real-time visual system to detect a moving obstacle and then studied the possibility of avoiding collisions by mounting the system on a mobile robot. The visual sensor used in this system is a passive optical stereo without any mechanical moving parts. Using a special slit patten, the sensor is configured in order to split the two images obtained by individual cameras place on the right and left and to project the split images onto one CCD sensor, providing approximately 200 auto-focusing subsystems. The sub-systems can operate independently of one another, enabling real-time processing. This paper reports on a visual sensor, a solution to the measurement accuracy problem concerning the detection of moving obstacles using the sensor, and visual system experiments on real-time detection of an actually moving object using the sensor.


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