Search

Since the world entered the Internet age, various industries have developed rapidly, as has the industry of artificial intelligence. Moreover, there is a wide range of application areas in artificial intelligence, including industry, computer, education, and intelligent robots. With the rapid development of science and technology, it is believed that the artificial intelligence may develop towards the "artificial intelligence +" era and strong artificial intelligence, which will be comprehensively analyzed in terms of definition, development, and application areas. Especially the analysis of intellectual property rights is of reference significance to the intellectual property planning of domestic enterprises.

Future project teams will consist of both humans and nonhumans as organizations’ internal and external landscapes are becoming more connected during the fourth Industrial Revolution. This paper explores the competencies project team members should require and what the impact is on the project management of these teams. The impact of Industry 4.0 is felt in various industries. Research on the impact of Industry 4.0 focuses mostly on future factories and the integration of technologies. Little or no research has been done on the impact of Industry 4.0 on project management or, for that matter, project teams. This paper focuses on the demands of Industry 4.0 to determine what future demands there will be on team members as well as the competencies that team members need to exhibit to cope with and meet these demands. The results imply that four categories of competencies are required of future project team members, in particular critical thinking and problem-solving skills. The composition of future project teams will also drastically change with the introduction of artificially intelligent robots as team members.

The past few years have seen more technological advancements than in the past century maybe. Humans are relying more and more on machines and automation. But is this leading to a safe environment? Many activists fear if technology takes over humanity completely it would mean the end of humanity. There might be a possibility that these artificially intelligent robots become more intelligent than humans and start controlling the human race. The research aims to put forth data on how the automation is replacing humans in the present day. The research also includes the prospective future of humans with these AI machines and the most advanced technologies that are expected to come up and are being worked on.

Presents information on the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems.

This paper presents a framework for navigating in obstacle-dense environments as posed in the 2016 International Conference on Intelligent Robots and Systems (IROS) Autonomous Drone Racing Challenge. Our framework is based on direct visual servoing and leg-by-leg planning to navigate in a complex environment filled with many similar frame-shaped obstacles to fly through. Our indoor navigation method relies on the velocity measurement by an optical flow sensor since the position measurements from GPS or external cameras are not available. For precision navigation through a sequence of obstacles, a center point–matching method is used with the depth information from the onboard stereo camera. The guidance points is directly generated in three-dimensional space using the two-dimensional image data to avoid accumulating the error from the sensor drift. The proposed framework is implemented on a quadrotor-based aerial vehicle, which carries an onboard vision-processing computer for self-contained operation. Using the proposed method, our drone was able to finished in first place in the world-premier IROS Autonomous Drone Racing Challenge.

通过对机器人课程的定位、调研和分析，阐述智能科学与技术专业的机器人课程建设的现状，分析目前教学存在的问题，并给出课程建设的创新教育改革的思路与途径。 Through the positioning research and analysis for robot curriculum, this paper introduces the status quo of the robot course construction for the intelligent science and technology major, analyzes the current problems existing in the teaching, and presents the thoughts and ways of the course construction in the innovation education reform.

Purpose – The purpose of this paper is to design intelligent robots operating in such dynamic environments like the RoboCup Middle-Size League (MSL). In the RoboCup MSL, two teams of five autonomous robots play on an 18- × 12-m field. Equipped with sensors and on-board computers, each robot should be able to perceive the environment, make decision and control itself to play the soccer game autonomously. Design/methodology/approach – This paper presents the design of our soccer robots, participating in RoboCup MSL. The mechanical platform, electrical architecture and software framework are discussed separately. The mechanical platform is designed modularly, so easy maintainability is achieved; the electronic architecture is built on industrial standards using PC-based control technique, which results in high robustness and reliability during the intensive and fierce MSL games; the software is developed upon the open-source Robot Operating System (ROS); thus, the advantages of ROS such as modularity, portability and expansibility are inherited. Findings – Based on this paper and the open-source hardware and software, the MSL robots can be re-developed easily to participate in the RoboCup MSL. The robots can also be used in other research and education fields, especially for multi-robot systems and distributed artificial intelligence. Furthermore, the main designing ideas proposed in the paper, i.e. using a modular mechanical structure, an industrial electronic system and ROS-based software, provide a common solution for designing general intelligent robots. Originality/value – The methodology of the intelligent robot design for highly competitive and dynamic RoboCup MSL environments is proposed.

Polymers, coke, oil dirt, limescale, sediments and rust corrosives, which are adhered to pipe wall, will be generated during the oil pipeline transport, thus leading to degradation of production efficiency, increasing the energy consumption and seriously impacting oil transport quality, efficiency and safety. What’s worse, this will result in blockage and thus interrupt the flow and suspend the production. Based on modern artificial intelligence (AI) and new-type environmental protection technologies, a self-propelled robot of intelligent manipulation is proposed and enters oil pipeline to conduct environmentally friendly cleaning using high-pressure water jet, and the cleaning wastewater can be recycled. This environmentally friendly intelligent pipeline robot is applicable to detection and high-pressure water jet cleaning of circular variable-sectional-diameter pipelines in closed environment. Furthermore, it is capable of online pipe wall quality detection for horizontal, vertical and turning circular pipelines, and also cleaning effect evaluation. According to the operating principle, an environmentally friendly oil pipeline cleaning technology based on intelligent robot is proposed by combining the technical characteristics in the existing oil pipeline design and construction, in an effort to provide a reference for intelligent cleaning and automatic visual inspection and evaluation of oil pipelines.

On 30 September 2018, the Industrial Activities Board (IAB) of the IEEE Robotics and Automation Society (RAS) organized a Standards Strategy Meeting in conjunction with the IEEE/Robotics Society of Japan Intelligent Robots and Systems Conference in Madrid, Spain. The purpose of the meeting was to review and refine an overall robotics standards landscape with the goal of determining areas in which the RAS should focus on robotics standards development and areas in which the Society should partner with other standards development organizations. Attendees included many RAS working group chairs; representatives from the International Organization for Standardization, the Robotics Industries Association, and the American Society of Mechanical Engineers; and experts in various robotics fields, including autonomous vehicles and industrial robotics.

R-Learning is en educational system that makes use of robot functions, contents and IT convergence. R-Learning system was used in 1,843 kindergartens(2.147 EA) as of October, 2013. To accelerate the universalization of R-Learning, the related laws and system should be reviewed to seek workable reform measures. The purpose of this study was to examine an act on the development of the e-learning industry and the promotion of e-learning and an intelligent robot act in an effort to offer an overview of the legal system related to R-Learning. Besides, the regulations of the copyright law and the personal information protection law that were associated with R-Learning were reviewed to expedite the vitalization of R-Learning.

The purpose of this study was to examine the concept of r-learning based on existing studies of r-learning. It also aimed to analyze r-learning environments in an effort to determine prerequisites for the successful entrenchment of r-learning in material(technology and infrastructure), human(young children and teacher) and institutional(law and policy) aspects. This study intended to suggest some of the right directions for the revitalization of r-learning. In conclusion, the position of r-learning and its interrelationship with related systems in the ecosystem of early childhood education should accurately be grasped to accelerate the integration of r-learning into kindergarten education to maximize the effects of the convergence of the two. Intensive efforts should be made from diverse angles to expedite the spread and enrichment of r-learning.

In order to reduce pesticides in agricultural production caused by direct contact with the human body injury, and improve the efficiency of agricultural spraying operations, this paper proposes the design of intelligent WiFi wireless controlled spraying pesticides robots. For monitoring the microcontroller core, a wireless router for the network connection point is employed. The camera captures video, Android phones and smart monitoring system operation. Test results show that the design realizes spraying pesticides by robot to replace staff job, and achieves good results.

Based on the established occasions, and by means of eM-plant simulation software, this paper carries out operation pattern simulation research of e-business distribution center based on intelligent robot. It mainly researches the general layout design, store planning, setting up of simulation model and running results analysis of E-business distribution center, and compared with traditional electricity distribution center operation mode, in order to highlight the advantage and development prospect of the model.

Low birth rates and population aging are growing problems in developed and emerging industrialized countries. The medical equipment industry in Taiwan is expected to leverage the strength of local ICT and medical industries to develop products to assist immobile patients or improve life quality of the grey-haired. The global market is expected to be tremendous in the combination of medical equipment and intelligent robots.

The fact that 6-DoF (Degree of Freedom) mobile robots become widespread, makes 2 dimensional Simultaneous Localization and Mapping (SLAM) systems insufficient in order to provide autonomous abilities like exploration and navigation. Thus, 3 dimensional SLAM has become a research subject, and various systems have been developed for the last decade. This paper compares performances of two state-of-the-art 3D SLAM systems: RTAB-Map (Real-Time Appearance-Based Mapping) and Kintinuous. Although both system uses RGB-D sensor for input data and similar aspects in gathering information from the input, their different approaches in implementation details affects performance results. Both systems were tested on several datasets. Experimental results show that RTAB-Map has more success on handling 3-Dimensional SLAM problems so that trajectory of RGB-D sensor can be estimated with remarkably less error than Kintinuous. The reason can stem from the fact that Kintinuous is more dependent to depth data which is less reliable than RGB data while RTAB-Map uses RGB data more effectively.

In this paper, we propose a new scheme for enhancing the computational SLAM overhead of intelligent robots. The idea is to use the idle resource of Smart Phone as a SLAM processor. We designed a new model for incorporating the smart phone with robot. According to the experimental results, we found that the smart phone was very helpful for improving the SLAM performance and the gain from the smart phone was increased as robot moves faster. ! "# $ "% &'( )% *+ ,( -./' ∙ ∙ ∙ !" #$%&'&#()*" #$%&+&,-./0" #$%&$&##&1234 567849:; ?< =@A B @B C D BE@FB=G

Target stereoscopic positioning is a significant sign of intelligent robot. The paper first described the research status of harvesting robot target stereoscopic positioning, discussed senor and stereoscopic positioning applications. Then, method and algorithm of rapid identification in target image were stated. In addition, version positioning, mechanism positioning, comprehensive positioning, associated positioning error, random positioning systematic error and application and existing problem of robot were introduced in this paper. Finally, harvesting robot positioning error compensation was proposed with the aiming at realizing robot precision positioning and expecting a great prospect of intelligent harvesting robot.

According to the Eleventh China Intelligent Robot Contest of fire-fighting rules, modified the AS-MF09 fire-fighting robot and had made an overall debug. From the problems arising in the debugging process for the hardware platform based on AS-MF09, this paper made a targeted analysis in the practice, the key technologies such as the strategies of finding the fire, the choice of fire-fighting mode and the efficiency to ensure fire-fighting had been optimized. As the result, the AS-MF09 fire-fighting robot found the fire quickly at the lower scores fire-fighting mode and extinguished the fire with the success rate of one hundred percent. The result shows that the optimization of the AS-MF09 fire-fighting robot can achieve rapid and efficient fire-fighting effects.

With development of technology, the robot arm is used widely in different fields; it creates great benefits for companies, thereby, it is extremely important to design robot arm. Purpose of this project is that inserting four washers and tightens four nuts on bolts. This task is analyzed by four aspects in the report. Firstly, the task can be analyzed based on different method. Rotation of five axes and prismatic of one axes can be selected. Secondly, the positions of the axes are fixed. Thirdly, the processing of the project is simulated using Flash. Finally, the matrix can obtained using Matlab.

With the rapid development of science and technology, people to some degree have acquired enormous achievements in the field of robot, especially the intelligent robots.To make robots a system so as to coordinate their movements, telecommunication is a fundamental factor. And wireless telecommunication is definitely the most ideal way to connect robot with robot or robot with computers.Research on remote robot technology can date back to the 1960s. As mankind’s knowledge of nature as well as application of robots are on the rise, some inevitably abominable environments are brought about, such as volcano exploration, deep ocean discovery, space exploration and militant monitoring. However, all these jobs will cause damage to the operating personnel more or less and sometimes even death.Therefore, the ways of controlling robots have developed from traditional live controlling to wireless remote controlling.

The equipment voice de-noising and reconstruction algorithm is presented in this paper based on intelligent robot in transformer situation (transformer and high resistance). The method is an embodiment of information and intelligence which can be applied in voice recognition of inspection robot. Firstly, equipment voice was collected and formed a sample database. Secondly, the voice features were analyzed in sample database, and the power-frequency Fourier spectrum as the voice features was extracted in the frequency domain. Finally, Fourier spectrum of power-frequency multiple was used to construct the voice by taking advantage of the inverse Fourier transform. The experimental results show that the algorithm has stable performance, strong robustness, and can accurately reconstruct the voice, so it is benefit to the follow-up voice recognition.

This paper describes a design and manufacture of a two-axis force sensor and a single-axis force sensor for the fingers of an i ntelligentrobot's hand. The robot's finger is composed of a two-axis force sensor, a first knuckle, a single-axis force sensor, a second knuckle,a spring, a motor of first knuckle, a motor of second knuckle, and so on. The two-axis force sensor attached to the first knuckle andthe single-axis force sensor attached to the second knuckle were designed and manufactured, and the characteristics test of two sensorswas carried out. As a test results, the interference error of the two-axis force sensor was less than 0.68%, the repeatability error of eachsensor was less than 0.02%, and then the non-linearity was less than 0.03%. It is thought that the sensors can be used for the fingersof the intelligent robot's hand for rehabilitation exercise of finger patients.Keywords: Force sensor, Robot's finger, Rated output, Interference error 1. 서론

Pedestrian detection based on images is one key technology of intelligent vehicles, and it is also widely applied in intelligent robots, intelligent surveillance. This paper mainly focuses on implementing a pedestrian detection system, which is classified by linear SVM with optimized Hog (Histograms of Oriented Gradients) as the extracted features. Then some experiments were done to find out that how the changing resolution of training set, times of bootstrapping iterations and different size and steps of the sliding windows affect the overall performance of detecting systems.

In this study, it is our goal to perform multi-body dynamics analysis and simulation analysis for robot arm which is the key driving module for planting robot system in radioactive exposed area, and to develop optimal planting robot arm through maximum speed and thrust analysis of planting robot arm. For improved lightweight model, maximum driving thrust is found as 190N, and we intend to develop model that can maintain the operation and performance of planting robot arm while minimizing the linear actuator’s load that occurs from initial model.

The effectiveness of path planning and path replanning for intelligent robot using improved ant colony algorithm is explored in this paper. For the purpose of avoiding falling into local optimum and preventing iterative stagnant, this paper describes a new algorithm named stochastic self-adaptive ant colony algorithm to improve the basic ant colony algorithm. Based on the improved ant colony algorithm, the approaches of path planning and path replanning are presented in this paper. Aiming at improving the speed of the algorithm and simplifying the objective function of traditional path planning, this paper presents a principle of eliminating the path nodes .Finally, some constrast emulators are designed.The simulation results proves that the improved ant colony algorithm has strong adaptability in intelligent robots path path planning and replanning.

As an important tool, intelligent robot has been widely used in information detection, household service, the old persons’ patrol, business reception, military battlefield, and other fields. Especially in the harsh environment, it is urgently need to adopt intelligent robot instead of human for environmental exploration and information collection. Due to the transmission network security, to ensure that communication data between the intelligent robot and remote operator is private and secure, this paper mainly studied on the encryption scheme of the communication data based on the AES algorithm using the CPLD/FPGA device, working in the mode OFB.

The remote information of the intelligent robot, especially the control information, has to be protected for integrity, in order to prevent the enemy or competitors from attack, such as manipulation and forgery. This paper uses the 3GPP integrity algorithm f9 to protect the integrity of the intelligent robot’s remote information, and uses FPGA to realize the hard core algorithm KASUMI of the f9, and gives an implementation example.

Mechanical industry has made a great advance in automation with increasing developments in performances of processing devices. A control system of intelligent robot is designed in the paper, which based on microprocessor S3C2410 with the kernel ARM 920T and the real-time embedded μC/OS-II operating system. The design proposed extends functions of intelligent robots and improve its ability to adapt environments. Otherwise, it will do great help in automations of mechanical systems.

Motivated by the increasing need of rapid characterization of environments in 3D, we designed a robot system that automates the work of an operator of terrestrial laser scanners. The built system enables to work without using special targets or markers and thus enables the surveyors to save more than 75% of the time spent in the field. Another impulse for developing the platform is the demand for a remote multi-sensor inspection tool. The robot is capable of surveying remote sites or danger areas, such as plants, underground mines, tunnels, caves, or channels. The results are precise, multi-modal digital 3D maps. This paper presents the recently developed robot Irma3D, its hardware, the developed interconnected software modules, the associated sensor calibration methods and a few applications.

SInBot[1] is a large research project that focuses on maximizing the efficient use of mobile industrial robots during medium sized production runs. The system that will be described in this paper will focusses on the development and validation of concepts for efficient work preparation for cells of intelligent mobile robots that execute medium sized production runs. For a wide range of products, the machining tasks will be defined on an appropriate level, enabling control over the robots behavior and performance. When the system, system operator, and robots have more experience with a product the system can be controlled on a higher level (i.e. the subsystems or even robots can start allocating and executing tasks by themselves). Different test beds are used to test the diversity of aspects involved in the development of the SInBot system. The initial test bed used for this research is a combination of two Lynxmotion AL5D robots and a Samsung SUR40 multi-touch environment. In this paper, novel work preparation concepts will be described and an experiment setup is proposed to validate the model for definition and generation of tasks from a CAD file.

In developed countries elderly people is gradually increasing. Society is abandoning their parents and/or gran-parents, and often are found dead at home without any aid or care. To reduce these problems, a robot was designed to assist the elderly in their homes. ROBIHO is an intelligent robot that has the ability to navigate in homes and monitor human daily routines. This robot is also a companion and enables communication with family, friends, health professionals and authorities. This paper presents the new social robotic system, ROBIHO and its technology.

With the development of computer technology, Multi-Agent System of Distributed Artificial Intelligent is advanced and implemented. This paper discusses the method for realizing the offences and defences of intelligent robot in Robocop simulate competition.

This paper reviews the state-of-the-art of inspection techniques and technologies towards condition assessment of water distribution and transmission mains. Pipe condition assessment is the determination of its current condition, including structural health, impact on water quality, and hydraulic capacity. The collection and analysis of relevant data and information is the first and a paramount step to detect and monitor critical indicators to prevent or mitigate catastrophic failures. The technologies include conventional non-destructive inspection and advanced sensor techniques for condition monitoring. This paper focuses on the inspection techniques and technologies for structural deterioration of water pipes. Technologies like smart pipe, augmented reality, and intelligent robots are also briefly discussed and summarized.

In order to solve the problems of current hearing aid devices, we make use of environment sensor network, and propose a hearing support system, where individual target and anti-target sound sources in the environment can be selected, and spatial information of the target sound sources is reconstructed. The performance of the selective sound separation module was evaluated for different noise conditions. Results showed that signal-to-noise ratios of around 15dB could be achieved by the proposed system for a 65dB babble noise plus directional music noise condition. In the same noise condition, subjective intelligibility tests were conducted, and an improvement of 65 to 90% word intelligibility rates could be achieved by using the proposed hearing support system.

This paper describes the holistic phase model of the ‘4 Robotic Revolutions’ - disruptive waves of evolution in robotics and automation - and their impact on society, economy and other areas of human life over the next 50 years. Furthermore, an explanation is provided, why a new Generation ‘R’ of Robotic Natives will grow up in daily contact with automation technology perceiving technology as valuable enrichments for their lives. The paper closes with an outlook into reasons why humankind has to ignite a holistic discourse about the responsible application of these disruptive technologies in order to shape a sustainable future enhanced (and not threatened) by robotics and automation. In consequence, the need for self-regulation in the sense of Technology and Robotic Governance will arise.

This paper presents a novel method for architecture exploration of an intelligent robot system while satisfying high processing performance at low power by utilizing FPGA and remote computing resources. In order to ease development complexity in the conventional architecture exploration, ROS-compliant FPGA component technology is employed. As a case study, Visual SLAM (Self Localization and Mapping) processing is studied, which is important for realizing intelligent autonomous robots. Some part of Visual SLAM processing is to be off-loaded onto a remote server outside a robot and to be processed parallel in the server. At the same time, the essential part of front-end of SLAM processing stays in the robot itself to reduce communication traffic between the robot and the remote computing resources. We have studied SLAM processing to find optimum function partitioning. In order to distribute and parallelize this processing, we explored processing architecture for trade-offs of power and performance.

An intelligent wheelchair (IW) system is developed in order to support safe mobility for disabled or elderly people with various impairments. The proposed IW offers two main functions: obstacle detection and avoidance, and situation recognition. First, through a combination of a vision sensor and eight ultrasonic ones, it detects diverse obstacles and produces occupancy grid maps (OGMs) that describe environmental information, including the positions and sizes of obstacles, which is then given to the learning-based algorithm. By learning the common patterns among OGMs assigned to the same directions, the IW can automatically find paths to prevent collisions with obstacles. Second, it distinguishes a situation whereby the user is standing on a sidewalk, traffic intersection, or roadway through analyzing the texture and shape of the images, which aids in preventing any accidents that would result in fatal injuries to the user, such as collisions with vehicles. From the experiments that were performed in various environments, we can prove the following: (1) the proposed system can recognize different types of outdoor places with 98.3% accuracy; and (2) it can produce paths that avoid obstacles with 92.0% accuracy.

Aiming at the characteristics of students of Intelligent Science and Technology, introduce the project oriented education concept, combining CDIO engineering education concept with innovation and pioneering in the current high education field, the four-years practice teaching model of intelligent robot is proposed on undergraduate course education field. The whole implementing process of practice teaching is introduced including structural basis, the design of project content, concrete measures of the project, ability cultivation, teaching organizational form and evaluation methods. Giving examples of quadruped robot, the process of the practice course is illustrated. The type of the project is from simple too complex to improve the students' engineering practice ability of Intelligent Science.

Trabajo presentado a la 3rd Conference on Control and Fault Tolerant Systems, celebrada en Barcelona (España) del 7 al 9 de septiembre de 2016., This paper addresses a fault-tolerant periodic economic model predictive control (MPC) strategy for differential-algebraic-equation (DAE) systems. Fault tolerance evaluation of the proposed economic MPC strategy uses set computations and a performance degradation analysis. By means of the set computations, the feasible solution set (including system states and control inputs) can be determined as well as the admissible performance set can be obtained when system reconfiguration or fault accommodation strategies are used. The proposed control strategy allows to carry out an analysis of performance degradation by using the feasible and admissible performance set. As a result, if the performance degradation is accepted, the economic MPC controller can be applied using system reconfiguration or fault accommodation. Finally, the proposed fault-tolerant MPC strategy is verified through an illustrative example., This work has been partially funded by the Spanish Government (MINECO) through the project CICYT ECOCIS (ref. DPI2013-48243-C2-1-R), by MINECO and FEDER through the project CICYT HARCRICS (ref. DPI2014-58104-R).

In minimally invasive robotic surgery, actuated instruments are used that provide additional degrees of freedom (DoF) inside the human body. Kinematic limitations due to the instrument could endanger the secure execution of a surgical task. Numerous design alternatives are proposed in the literature whereas little work is done that evaluates the performance of these instruments in an objective way. This paper presents recent extensions towards a method from Deutschmann et al. (IEEE conference on intelligent robots and systems, 2013 [1]) to evaluate alternative designs of instrument kinematics with respect to their ability to perform surgical tasks. These extensions include further analysis of the task “suturing”, one of the key tasks in robotic surgery, to extract the main components and generalize it with respect to the arbitrariness in which way this task occurs during a minimally invasive intervention. The paper concludes with more recent evaluation results and gives recommendations for instruments and their kinematic structure.

In order to further enhancing the ratio of load of the current intelligent industrial robot to its weight, and making the structure and movement of the intelligent robot develop rapidly toward the modularization, flexibility and reconfigurable mode, a kind of new-type intelligent robot hand material with high strength, light mass and large damping is proposed in the paper. The new composition material and its performance are also introduced and discussed in detail. Based on it, the specific preparation method and technology of the new-type composite material are given. The experimental results show that the weight of the intelligent robot hand material proposed in the paper can reduce by about 30% under the premise of ensuring the good strength of the intelligent robot hand.

The paper takes robotics remote sensing as research background. Robotics remote sensing is a newly developed research area. Compared with traditional remote sensing and robotics technology, definition of robotics remote sensing is discussed in the first part. In the second part, the paper combines the latest international and domestic research references and practical robotics application platform. It mainly studies robotics remote sensing on eight-wheeled robot RAT-1 for mine sensing, mobile robot with IR-optical sensor for gas leak detection and source localization, ambient intelligent robot for environmental surveillance, mobile robot for object localization and other hot research points. Because of its new appearance, studies of robotics remote sensing are not matured. So the paper also indicates key problems existed in each application and predicts three most possible development aspects of robotics remote sensing at last.

A controller based on fuzzy neural network is designed in the paper. Fuzzy neural networks are introduced into the information fusion of signals from sensors of an AS-R intelligent robot. Characteristic information of unknown environments acquired by ultrasonic sensors, infrared sensors and vision sensors are fused together in order to eliminate uncertainty caused by single sensor. Therefore, precise environment information can be obtained and the fault tolerant capabilities of robots are improved. It is proved that intelligent robots adopting multi-sensor information fusing techniques have better real-time and robust characteristics according to simulation results.

An increasing number of researches and developments for personal or professional service robots are attracting a lot of attention and interest industrially and academically during the past decade. Furthermore, the development of intelligent robots is intensively fostered as strategic industry. Until now, most of practical and commercial service robots are worked by remotely operated controller. The most important technical issue of remote control is a wireless communication, especially in the indoor and unstructured environments where communication infrastructures might be destroyed by various disasters. Therefore we propose a multi-robot following navigation method for securing the valid communication distance extension of the remote control based on WPAN(Wireless Personal Area Networks). The concept and implementation of following navigation are introduced and the performance verification is performed through real navigation experiments in real or test-bed environments.