Research on robot techniques that are fast, user-friendly, and require little application-specific knowledge by the user, is more and more encouraged in a society where the demand of home-care or domestic-service robots is increasing continuously. In this context we propose a methodology which combines reinforcement learning and genetic algorithms to teach a robot how to perform a task when onl...

The paper concerns the evaluation of Nao WikiTalk, an application that enables a Nao robot to serve as a spoken open-domain knowledge access system. With Nao WikiTalk the robot can talk about any topic the user is interested in, using Wikipedia as its knowledge source. The robot suggests some topics to start with, and the user shifts to related topics by speaking their names after the robot men...

*1 Chief Staff Manager, Space Technology Application Department, Space Systems Division, Integrated Defense & Space Systems and Quality Assurance Department, Nuclear Energy Systems Division, Energy & Environment *2 Chief Staff Manager, Space Technology Application Department, Space Systems Division, Integrated Defense & Space Systems *3 Space Technology Application Department, Space Systems Div...

In this paper, we give a recount of the application of Sensoria approaches, languages, and tools to the modeling of movement of the robot that has taken the lead role in Sensoria demonstrations at the exhibitions ICT 2008 in Lyon and FET 2009 in Prague. The demos were centred around a robot-bowling game that actively involved the visitors in programming a robot that plays bowling, using some of...

On developing modern robot systems, intellectual robots can be designed as multiple modules, where the module means the autonomous hardware units performing robot specific tasks. Further, each module can be connected with non-unified network interfaces due to a heterogeneous feature of robot system. In this manner, one of technical challenges is interoperability to support stable and effective ...

In this paper, a stable leader-following formation control for multiple mobile robot systems with limited sensor information is studied. The proposed algorithm is to control a robot (follower) to follow another robot (leader), and easily extended to form any complex formation. The control algorithm requires information available from onboard sensors only, and utilizes estimation of leader’s acc...

In this paper we discuss the topic of modeling a moving object in a robot application considering as example the ball movement in a robot soccer environment. The paper focuses on the question of how to estimate the ball velocity reliably even if the ball collides with an obstacle or the observing robot is moving itself. We propose a new estimation algorithm based on a direct estimate using ridg...

Any theory (such as, for example a theory of robot-environment interaction) is dependent upon quantitative descriptions of behaviour. In this paper we present experiments on the application of chaos theory to describe a robot’s behaviour quantitatively. Computing the Lyapunov exponent of robot trajectories observed in a number of experiments, we find that a change in task influences robot behav...

in this study, a new servo control system is presented for the overhead crane based on discrete-time state feedback approach. it provides both robust tracking and load swing suppression. inspired from independent joint and computed torque control in robot manipulator field, a new model is derived in which the crane actuators are considered as the main plant. the crane nonlinearities are then tr...

The fields of multi-robot and multi-agent systems represent active and topical research themes. Their results can be important for several areas, this paper considering the industrial application. The possibility to solve through robot cooperation an assembly process is discussed, the proposed approach using an agent based solution. Some theoretical and practical issues on robot coordination ar...