Browsing by Keyword "Learning"
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Item Self-sustaining learning for robotic ecologies(2012) Bacciu, D.; Broxvall, M.; Coleman, S.; Dragone, M.; Gallicchio, C.; Gennán, R.; Loparo, C.; Guzmez, R.; Lozano-Peiteado, H.; Ray, A.; Renteria, A.; Saffiotti, A.; Vairo, C.; Medical Technologies; Robótica MédicaThe most common use of wireless sensor networks (WSNs) is to collect environmental data from a specific area, and to channel it to a central processing node for on-line or off-line analysis. The WSN technology, however, can be used for much more ambitious goals. We claim that merging the concepts and technology of WSN with the concepts and technology of distributed robotics and multi-agent systems can open new ways to design systems able to provide intelligent services in our homes and working places. We also claim that endowing these systems with learning capabilities can greatly increase their viability and acceptability, by simplifying design, customization and adaptation to changing user needs. To support these claims, we illustrate our architecture for an adaptive robotic ecology, named RUBICON, consisting of a network of sensors, effectors and mobile robots.Item Short-and long-term learning of feedforward control of a myoelectric prosthesis with sensory feedback by amputees(2017) Štrbac, Matija; Isaković, Milica; Belić, Minja; Popović, Igor; Simanić, Igor; Farina, Dario; Keller, Thierry; Došen, Strahinja; SG; Tecnalia Research & InnovationHuman motor control relies on a combination of feedback and feedforward strategies. The aim of this study was to longitudinally investigate artificial somatosensory feedback and feedforward control in the context of grasping with myoelectric prosthesis. Nine amputee subjects performed routine grasping trials, with the aim to produce four levels of force during four blocks of 60 trials across five days. The electrotactile force feedback was provided in the second and third block usingmultipad electrode and spatial coding. The first baseline and last validation block (open-loop control) evaluated the effects of long-(across sessions) and short-term (within session) learning, respectively.The outcomemeasureswere the absolute error between the generated and target force, and the number of force saturations. The results demonstrated that the electrotactile feedback improved the performance both within and across sessions. In the validation block, the performance did not significantly decrease and the quality of openloop control (baseline) improved across days, converging to the performance characterizing closed-loop control. This paper provides important insights into the feedback and feedforwardprocessesin prosthesiscontrol, contributing to the better understanding of the role and design of feedback in prosthetic systems.Item Validating intelligent power and energy systems – A discussion of educational needs(Springer Verlag, 2017) Kotsampopoulos, P.; Hatziargyriou, N.; Strasser, T. I.; Moyo, C.; Rohjans, S.; Steinbrink, C.; Lehnhoff, S.; Palensky, P.; van der Meer, A. A.; Morales Bondy, D. E.; Heussen, K.; Calin, M.; Khavari, A.; Sosnina, M.; Rodriguez, J. E.; Burt, G. M.; Strasser, Thomas; Wahlster, Wolfgang; Marik, Vladimir; Kadera, Petr; POWER SYSTEMSTraditional power systems education and training is flanked by the demand for coping with the rising complexity of energy systems, like the integration of renewable and distributed generation, communication, control and information technology. A broad understanding of these topics by the current/future researchers and engineers is becoming more and more necessary. This paper identifies educational and training needs addressing the higher complexity of intelligent energy systems. Education needs and requirements are discussed, such as the development of systems-oriented skills and cross-disciplinary learning. Education and training possibilities and necessary tools are described focusing on classroom but also on laboratory-based learning methods. In this context, experiences of using notebooks, co-simulation approaches, hardware-in-the-loop methods and remote labs experiments are discussed.