Five robot vision algorithms for object segmentation are explained. This algorithms are compared in an experiment. The aim of the experiment was to check which of this five algorithms are useful for our robotics project in the field of indoor room exploration. In this project a robot shall autonomously generate a map from our office which shall be the foundation to fulfil tasks like an office m...

This paper presents a vision-speech system for service robots that can learn the user’s customs and objects fixed in the environment while helping the user, and can perform their tasks more efficiently with less user’s burden. We are working on a service robot that brings objects ordered by the user through speech. The robot needs vision to recognize the objects. It asks the user for help by sp...

The goal of mobile robotics research has been to establish effective ways for a mobile robot to navigate from one place to another. This thesis documents an experimental investigation into the use of vision for the navigation of mobile robots. The research presented in this thesis was directed at achieving qualitative navigation in an unmodified, unknown and dynamic environment. This thesis des...

In this paper, we extend an algorithm to detect constraint based F-formations for a telepresence robot and also consider the situation when the robot is in motion. The proposed algorithm is computationally inexpensive, uses an egocentric (first-person) vision, low memory, low quality vision settings and also works in real time which is explicitly designed for a mobile robot. The proposed approa...

This paper introduces a novel approach for face recognition using multiple face patterns obtained in various views for robot vision. A face pattern may change dramatically due to changes in the relation between the positions of a robot, a subject and light sources. As a robot is not generally able to ascertain such changes by itself, face recognition in robot vision must be robust against varia...

This paper presents an approach to Simultaneous Localization and Mapping (SLAM) based on monocular vision. Standard multiple-view vision techniques are used to estimate robot motion and scene structure, which are then integrated with minimal odometric information and used to build a global environment map. Preliminary experimental results are also presented and discussed. Key-Words: Robot local...

In this paper, we present a new method for vision-based, reactive robot navigation that enables a robot to move in the middle of the free space by exploiting both central and peripheral vision. The system employs a forward-looking camera for central vision and two side-looking cameras for sensing the periphery of the robot’s visual field. The developed method combines the information acquired b...

In this paper, we present a new method for vision-based, reactive robot navigation that enables a robot to move in the middle of the free space by exploiting both central and peripheral vision. The robot employs a forward-looking camera for central vision and two side-looking cameras for sensing the periphery of its visual field. The developed method combines the information acquired by this tr...

VISION SYSTEM, produced by Newton Research Labs. The authors embedded the vision system in a small robot base to tie for first place in the Clean Up the Tennis Court event at the 1996 Annual AAAI Mobile Robot Competition and Exhibition, held as part of the Thirteenth National Conference on Artificial Intelligence. Of particular interest is that the authors’ entry was the only robot capable of u...

In this paper, we propose an active vision strategy for the construction of 3D map in a robot brain from its stereo eye images. We show that a combination of the robot action and image change caused by the action will improve the accuracy of the vision system parameters. If the robot stereo cameras have been accurately calibrated, the obtained reconstruction of the 3D static scene stays station...