Cristina Urdiales – författare
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In nowadays aging society, many people require mobility assistance. Sometimes, assistive devices need a certain degree of autonomy when users'' disabilities difficult manual control. However, clinicians report that excessive assistance may lead to loss of residual skills and frustration. Shared control focuses on deciding when users need help and providing it. Collaborative control aims at giving just the right amount of help in a transparent, seamless way.
This book presents the collaborative control paradigm. User performance may be indicative of physical/cognitive condition, so it is used to decide how much help is needed. Besides, collaborative control integrates machine and user commands so that people contribute to self-motion at all times.
Collaborative control was extensively tested for 3 years using a robotized wheelchair at a rehabilitation hospital in Rome with volunteer inpatients presenting different disabilities, ranging from mild to severe. We also present a taxonomy of common metrics for wheelchair navigation and tests are evaluated accordingly. Obtained results are coherent both from a quantitative and qualitative point of view.
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Multi-agent systems are one of the most exciting research areas in Artificial Intelligence. In the last ten years there has been a growing interest in the application of agent-based systems in health care. Moreover, a growing European community of researchers interested in the application of intelligent agents in health care emerged as a result of the activities within the AgentCities.NET European network and the AgentLink III Technical Forum Group on Healthcare Applications of Intelligent Agents. This book reports on the results achieved in this area, discusses the benefits (and drawbacks) that agent-based systems may bring to medical domains and society, and also provides a list of the research topics that should be tackled in the near future to make the deployment of health-care agent-based systems a reality.