In this paper we present recent results of integrating omni-directional view image analysis and a set of adaptive backpropagation networks to understand the outdoor road scene by a mobile robot. Road is classified before orientation estimation so that the system can deal with road images with different types effectively and efficiently. A modified omni-view image sensor captures images with 360...

This paper addresses the problem of global localization (“where am I”?) by a mobile robot using an omni-directional vision sensor. The approach is mainly concerned with the problem of global localization in a topological map (consisting of a set of panoramic views), though it also gives an approximate estimate of the robot pose relative to the best matching view, so it could also be used as the...

The omni-directional mobile robot with multi DOF, because the operation posture and operation accuracy of the manipulator can be better controlled in a narrow or crowded workplace compared with the general manipulator, is getting more interested in practical applications. The present problem is to improve its flexibility for operating multiple different targets. Target recognition with image pr...

This paper presents a hybrid sensing system for mobile robot localization in large-scale indoor environments. The system operates in two sensing modes, either omni-directional vision or laser scanning, according to the environmental characteristics. For a structured corridor environment, the vision information is adopted to track the robot pose with a predefined hybrid metric-topological map. F...

In this paper, we describe the concept of building a robot able to pursue a specific person through an airport while assisting with carrying that person’s luggage. After a review of the current devices available for performing these tasks, we described our approach that aims to develop a platform that could send and receive a signal that would provide a simple and practical means for the robot ...

We present a stereo vision based global self-localization strategy for tiny autonomous mobile robots in a well-known dynamic environment. Global localization is required for an initial startup or when the robot loses track of its pose during navigation. Existing approaches are based on dense range scans, active beacon systems, artificial landmarks, bearing measurements using omni-directional ca...

In this article we described the attempt to build a robot able to locate and follow an human target moving in a domestic environment. After a brief review of the state of the art in relative location technologies, we described our approach that aims to develop robots provided with simple and robust relative location technologies that do not require to structure the environment and on simple sem...

We refer to human-robot relationships as Lovotics. In this paper a design process for Lovotics is presented. In order to invoke these relationships, technological solutions can only take us so far. Design played an important role in order to engage users to explore the possibilities of bi-directional, human-robot love. We conducted a user-centric study in order to understand these factors and i...

Recently, various essential technologies of an autonomous mobile robot such as a self localization scheme, an environmental map formation and path planning, learning algorithm and communication are developed in the area of robot. In addition, a variety of service robots which offers service with the actual environment with other moving objects, including people are proposed and developed(B. Gra...