Cooperation: Adaptability of shared functions between Humans and Machines -Design and evaluation
Résumé
Effective cooperation between human operators and robots is essen- tial for the accomplishment of crucial tasks in tough and dangerous contexts, such as search and rescue operations. While autonomous robots excel at moving through dangerous conditions, human deci- sions made on the basis of global knowledge and experience, are still required to adapt to unforeseen events. We used a Human-Machine Cooperation model to address this topic. The model proposes the definitions to analyze the Know-How-to-Operate and Know-How- to-Cooperate competencies of the teaming agents, in relation to the different phases of a shared task. On this basis, we designed four cooperation levels for the team with the addition of an intel- ligent assistant system (IAS) agent. As a proof-of-concept, these levels have been implemented for evaluation purposes in a team composed of one human, one IAS, and two robots. In our study we demonstrated the practical implementation of the proposed cooper- ation levels within a human-robot team, emphasizing the Intelligent Assistance System (IAS) agent’s ability to improve cooperation and task efficiency in hazardous environments.
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