Sunhong Park

Indoor localization for autonomous mobile robot based on passive RFID

In this paper, we propose a novel method using read-time of IC tags to reduce the localization error of an RFID navigation system. In order to reduce localization error, many approaches have been introduced. However, they do not deal with the problems that arise when the antenna can read at most one tag at any given moment. Using this, our passive RFID system is able to estimate the robots location and orientation more accurately without the use of external sensors or a vision system. The experimental results show that the proposed method effectively estimates both the location and the pose of a mobile robot during navigation. We present results of trajectories of the robot in navigation and compare them with a generally utilized RFID algorithm.

Autonomous navigation of a mobile robot based on passive RFID

This paper describes a novel approach of autonomous navigation for a mobile robot based on a passive RFID that will be used in human living environment. Conventional approaches using dead reckoning or landmark are influenced by disturbances such as the light condition and obstacles, while the proposed method can obtain environmental information more reliably and robustly with the RFID system. The proposed method estimates not only the position but also its current orientation without other sensors by using the detected sequential IC tag information. We examined that the robot reaches to the goal utilizing only the position information but not the orientation information.

An intelligent localization algorithm using read time of RFID system

This paper presents a novel method using the read time of an antenna from an RFID system to reduce the localization error of a mobile robot in an RFID navigation system. There are many approaches for reducing the localization error in RFID systems. However, they do not deal with the problems that arise when the antenna can read at most one tag at any given moment. Using this approach, our passive RFID system is capable of estimating the robots location and orientation more accurately without the use of external sensors, signal strength measurement, or a vision system. Moreover, the proposed method offers a modular and cost-effective alternative to other navigation systems for mobile robot applications related to services in indoor environment. The experimental results show that the proposed method enables the robot to successfully estimate both the location and the orientation during navigation. We discuss results of trajectories of the robot in navigation and compare them with a generally utilized RFID system.

Wireless Sensor Network and RFID Fusion Approach for Mobile Robot Navigation

There are numerous applications for mobile robots that require relatively high levels of speed and precision. For many systems, these two properties are a tradeoff, as oftentimes increasing the movement speed can mean failing to detect some sensors. This research attempts to create a useful and practical system by combining a wireless sensor network with a passive radio frequency identification system. The sensor network provides fast general navigation in open areas and the radio frequency identification system provides precision navigation near static obstacles. By fusing the data from both systems, we are able to provide fast and accurate navigation for a mobile robot. Additionally, with WSN nodes and passive RFID tag mats, the system infrastructure can be easily installed in existing environments.

Wireless sensor network and RFID sensor fusion for mobile robots navigation

Many indoor, mobile robot applications require relatively high levels of speed and precision during navigation. Often times, these properties are a trade-off with some sensors losing reliability when the robot moves at higher speeds. In this paper, we present a useful and practical system that combines a wireless sensor network with a passive radio frequency identification system (RFID). The sensor network provides the robot with fast, general navigation in open areas. Near static obstacles, it is fused with data from a radio frequency identification system, allowing the robot to perform more precise navigation and avoid static obstacles without the aid of sensors often used in obstacle avoidance, such as sonar or cameras. Experiments were conducted in a real environment to show the utility of the system.

An approach for mobile robot navigation under randomly distributed passive RFID environment

In this paper, we describe an autonomous navigation system for a mobile robot using randomly distributed passive RFID tags. Furthermore, in order to acquire the robots location and orientation precisely, we developed the Read-time model. According to the conventional approaches, more than two readers are required to estimate the orientation of the robot when using a passive RFID system. With our proposed method, a mobile robot is able to estimate its location and orientation accurately with a randomly distributed arrangement of RFID tags. The experimental results illustrate that the proposed method can successfully do both.

Contextual Awareness in a WSN/RFID Fusion Navigation System

We present insight into how contextual awareness can be derived from, and improve, a fusion algorithm combing a WSN and a passive RFID for autonomous mobile robot navigation. Contextual awareness of not where the robot is, but rather the context in which it exists in relation to the environment and human user serves to improve accuracy in navigation, alters the speed of the robot, and modifies its behavior. The WSN system, using a virtual potential field, provides fast general navigation in open areas and the RFID provides precision navigation near static obstacles and in narrow areas. We verified the effectiveness of our approaches through navigational and guidance experiments.