857 resultados para Robotic dispensing


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Mode of access: Internet.

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This thesis deals with the challenging problem of designing systems able to perceive objects in underwater environments. In the last few decades research activities in robotics have advanced the state of art regarding intervention capabilities of autonomous systems. State of art in fields such as localization and navigation, real time perception and cognition, safe action and manipulation capabilities, applied to ground environments (both indoor and outdoor) has now reached such a readiness level that it allows high level autonomous operations. On the opposite side, the underwater environment remains a very difficult one for autonomous robots. Water influences the mechanical and electrical design of systems, interferes with sensors by limiting their capabilities, heavily impacts on data transmissions, and generally requires systems with low power consumption in order to enable reasonable mission duration. Interest in underwater applications is driven by needs of exploring and intervening in environments in which human capabilities are very limited. Nowadays, most underwater field operations are carried out by manned or remotely operated vehicles, deployed for explorations and limited intervention missions. Manned vehicles, directly on-board controlled, expose human operators to risks related to the stay in field of the mission, within a hostile environment. Remotely Operated Vehicles (ROV) currently represent the most advanced technology for underwater intervention services available on the market. These vehicles can be remotely operated for long time but they need support from an oceanographic vessel with multiple teams of highly specialized pilots. Vehicles equipped with multiple state-of-art sensors and capable to autonomously plan missions have been deployed in the last ten years and exploited as observers for underwater fauna, seabed, ship wrecks, and so on. On the other hand, underwater operations like object recovery and equipment maintenance are still challenging tasks to be conducted without human supervision since they require object perception and localization with much higher accuracy and robustness, to a degree seldom available in Autonomous Underwater Vehicles (AUV). This thesis reports the study, from design to deployment and evaluation, of a general purpose and configurable platform dedicated to stereo-vision perception in underwater environments. Several aspects related to the peculiar environment characteristics have been taken into account during all stages of system design and evaluation: depth of operation and light conditions, together with water turbidity and external weather, heavily impact on perception capabilities. The vision platform proposed in this work is a modular system comprising off-the-shelf components for both the imaging sensors and the computational unit, linked by a high performance ethernet network bus. The adopted design philosophy aims at achieving high flexibility in terms of feasible perception applications, that should not be as limited as in case of a special-purpose and dedicated hardware. Flexibility is required by the variability of underwater environments, with water conditions ranging from clear to turbid, light backscattering varying with daylight and depth, strong color distortion, and other environmental factors. Furthermore, the proposed modular design ensures an easier maintenance and update of the system over time. Performance of the proposed system, in terms of perception capabilities, has been evaluated in several underwater contexts taking advantage of the opportunity offered by the MARIS national project. Design issues like energy power consumption, heat dissipation and network capabilities have been evaluated in different scenarios. Finally, real-world experiments, conducted in multiple and variable underwater contexts, including open sea waters, have led to the collection of several datasets that have been publicly released to the scientific community. The vision system has been integrated in a state of the art AUV equipped with a robotic arm and gripper, and has been exploited in the robot control loop to successfully perform underwater grasping operations.

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Objective: To measure changes in dispensing activity in a UK repeat dispensing pilot study and to estimate any associated cost savings. Method: Patients were provided with two successive three-monthly repeat prescriptions containing all of the items on their "repeat medicines list" and valid at a study pharmacy. Pharmacists consulted with patients at the time of supply and completed a patient-monitoring form. Prescriptions with pricing data were returned by the UK Prescription Pricing Authority. These data were used to calculate dispensing activity, the cost of dispensed items and an estimate of cost savings on non-dispensed items. A retrospective identification of items prescribed during the six months prior to the project was used to provide a comparison with those dispensed during the project and thus a more realistic estimate of changes. Setting: 350 patients from two medical practices in a large English City, with inner city and suburban locations, and served by seven pharmacies. Key findings: There were methodological challenges in establishing a robust framework for calculating changes. Based on all of the items that patients could have obtained from their repeat list, 23.8% were not dispensed during the intervention period. A correction was then made to allow for a comparison with usage in the six months prior to the study. Based on the corrected data, there was an estimated 11.3% savings in drug costs compared with the pre-intervention period. There was a marked difference in changes between the two practices, the pharmacies and individual patients. The capitation-based remuneration method was acceptable to all but one of the community pharmacists. Conclusion: The repeat dispensing system reduced dispensing volume in comparison with the control period. A repeat dispensing system with a focus on patients' needs and their use of medicines might be cost neutral.