Learn More
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)
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)
— 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)
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 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)
Probabilistic path planning driven by a potential field is a well established technique and has been successfully exploited to solve complex problems arising in a variety of domains. However, planners implementing this approach are rather inefficient in dealing with certain types of local minima occurring in the potential field, especially those(More)