The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper discusses a conversation system for robot partners based on informationally structured space using sensor networks. The conversation system is composed of (A) information support mode, (B) daily conversation mode, and (C) scenario conversation mode. The sensor network can extract the states on the person and environment through the informationally structured space, and the information support...
Simultaneous localization and mapping (SLAM) is one of important topics in robotics. However, we must consider various intelligent behaviors in SLAM, e.g., the exploration of unknown areas and effective path planning of mobile robots. To realize these intelligent behaviors, we use a multi-resolution map. The multi-resolution map can be updated by the operators suitable to a specific aim. The first...
To record daily activity for well-maintained human health care, a monitoring system based on multiple microelectromechanical systems (MEMS) has been developed. Several kinds of numerical data of subject's activity can be stored using the MEMS based monitoring system. When we use subject's activity on a single day, a huge volume of data is obtained and recorded. In order to estimate the subject's behavior...
This paper describes a clustering process taking inspiration from the cemetery organization of ants. The goal of this paper is (i) to show the importance of the local interactions which allow to produces complex and emergent behavior. (ii) To propose a multi-robot systems in the field of clustering objects allowing optimization of: time of convergence, rate of occupation of the objects in the environment...
The objective of this work is to demonstrate the possibility of using primitives for on-line generation of complex movements that ensure motion of bipedal humanoid robots in unstructured environment where on-line generation of motion is required. Primitives represent simple movements that are either reflex or learned. Each primitive has its parameters and constraints that are determined on the basis...
Automatic human action recognition has been a challenging issue in the field of machine vision. Some high-level features such as SIFT, although with promising performance for action recognition, are computationally complex to some extent. To deal with this problem, we construct the features based on the Distance Transform of body contours, which is relatively simple and computationally efficient,...
Many kinds of power-assist robots have been developed in order to assist daily life motions of the elderly or physically weak persons. A human upper-limb has 7 degrees of freedom to achieve various tasks dexterously. Therefore, to assist all upper-limb joint motions of a human, the upper-limb power-assist robot is required to have 7DOF. On the other hand, to achieve a desired task, a person moves...
Various humanoid robots and multi-fingered robot hands are used in research and development. As these robot hands grasp and manipulate an object, the control phase is divided into an “approach phase” and a “manipulation phase.” In the approach phase, a position control method is necessary to control the posture of the robot hand. In the manipulation phase, a force control method is necessary to control...
How to recognize human action from videos captured by modern cameras efficiently and effectively is a challenge in real applications. Traditional methods which need professional analysts are facing a bottleneck because of their shortcomings. To cope with the disadvantage, methods based on computer vision techniques, without or with only a few human interventions, have been proposed to analyse human...
In order to realize a human-like intuitive communication between human and robot, a robot should understand the human's basic level knowledge which is usually hidden in communication. However, as human's basic level knowledge has been unconsciously built during our development, it is very hard to build the knowledge network as the computational system. In this paper, we propose the approach to build...
Complex robot tasks can be partitioned into motion primitives or robot skills that can directly be learned and recognized through Programming-by-Demonstration (PbD) by a human operator who demonstrates a set of reference skills. Robot motions are recorded by a data-capturing system and modeled by a specific fuzzy clustering and modeling technique where skill models use time instants as inputs and...
The paper regards building of a scalable experimental platform for research, development, testing and verification of navigation and control algorithms for Wireless Robot-Sensor Networked systems (WRSN). Concept of the corresponding experimental test-bed station, with appropriate hierarchy-distributed control structure, operated within informationally structured space (environment) is presented in...
We propose a magnetic type tactile sensor that can measure a three-axis displacement and a three-axis force, and detect slips. Its simple structure comprises two layers, an elastic layer, and a substrate layer. The elastic layer is made of an elastic material and houses a cylindrical permanent magnet inside. The substrate layer is a glass epoxy board and has four giant magneto resistance (GMR) elements...
This article proposes an Interactive Hierarchical Reinforcement Learning system (IH-RL). The goal of our study is that the agents using the IH-RL acquire adequate behaviors to cooperative in “gap-widening” situations. Such situations are observed in a variety of real-world environments (e.g., economic gaps between humans or between companies in a community), and are thus important to solve. Computer...
The goal of the path planning problem is to determine an optimal collision-free path between a start and a target point for a mobile robot in an environment surrounded by obstacles. This problem belongs to the group of hard optimization problems which can be approached by modern optimization techniques such as evolutionary algorithms. In this paper the bacterial memetic algorithm is proposed for path...
This paper presents interaction between a user and a smart electric wheelchair. We propose a personal mobility tool (PMT) which integrates autonomous mobile robot navigation technology with intuitive and cognitive interaction between a user and a smart wheelchair. An intuitive and noncontinuous input method to enable a user to specify a direction in which he/she wants to go is proposed. Also, to help...
Recently, the expectation to tele-operated mobile robots has been increasing much in order to perform the monitoring in various scenes. However, there are many critical problems in tele-operated system. Especially, we must improve the restriction of visual range, the usability of human interface, and intention sharing with the operator. In this paper, we discuss the monitoring system of a tele-operated...
RiiSS2011 is aimed at bringing together scientists, engineers and students from around the world to discuss the latest advances in the field of robot intelligence under the umbrella of informationally structure space, which is coined by the emerging synthesis of information technology, network technology, and robotics technology. It has been identified as one of the most promising approaches to realize...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.