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2 Preface Cognitive robotics is concerned with integrating reasoning, perception, and action within a uniform theoretical and implementation framework (using methods drawn from logic, probability and decision theory, reinforcement learning, game theory, etc.). It is quite a young field of research. However, the use of robots and softbots is becoming more(More)
— The next generation of tools for rehabilitation robotics requires advanced human-robot interfaces able to activate the device as soon as patient's motion intention is raised. This paper investigated the suitability of Support Vector Machine (SVM) classifiers for identification of locomotion intentions from surface electromyography (sEMG) data. A(More)
Peer-to-Peer systems can provide an effective e-business solution and a rich communication medium for work groups in University Campus, Research Lab, Enterprise, Finance environments. The need for coordinated resource sharing and problem solving in large, multi-institutional Virtual Organizations is also the strong motivation behind Grid Computing, which is(More)
Novel remote operation paradigms, such as tele-teaching/tele-learning, virtual laboratories, and on-line robots, represent challenging distributed robotic applications, where developers must deal with heterogeneous , dynamic, and highly concurrent control systems. Distributed Object Computing can be essential to cope with the complexity of such systems,(More)
Due to the high number of sensors managed and need to perform complex reasoning activities, real-time control systems of autonomous robots exhibit a high potential for overload, i.e., real-time tasks missing their deadlines. In these systems overload should be regarded as a likely occurrence and hence managed accordingly. In this paper we illustrate a novel(More)
This work examined if currently available electromyography (EMG) driven models, that are calibrated to satisfy joint moments about one single degree of freedom (DOF), could provide the same musculotendon unit (MTU) force solution, when driven by the same input data, but calibrated about a different DOF. We then developed a novel and comprehensive EMG-driven(More)
— The Programming by Demonstration paradigm promises to reduce the complexity incurred in programming robot tasks. Its aim is to let robot systems learn new behaviors from a human operator demonstration. In this paper, we argue that while providing demonstrations in the real environment enables teaching of general tasks, for tasks whose essential features(More)
We aimed to evaluate the reliability of the modified Rankin Scale applied telephonically compared with face-to-face assessment in clinically stable hospitalized patients with acute stroke. One hundred and thirty-one patients were interviewed twice by 2 certified nurses (unstructured interview). Half of the patients were randomized to be interviewed by(More)
The technological developments in distributed systems have led to new telerobotic applications, such as virtual laboratories and remote maintenance of complex equipment. These applications must satisfy both the general requirements of distributed computing , e.g. location transparency and interoperability, and the domain-specific requirements of(More)