نبذة مختصرة : International audience ; Effective cooperation between human operators and robots is essen-tial for the accomplishment of crucial tasks in tough and dangerouscontexts, such as search and rescue operations. While autonomousrobots excel at moving through dangerous conditions, human deci-sions made on the basis of global knowledge and experience, are stillrequired to adapt to unforeseen events. We used a Human-MachineCooperation model to address this topic. The model proposes thedefinitions to analyze the Know-How-to-Operate and Know-How-to-Cooperate competencies of the teaming agents, in relation tothe different phases of a shared task. On this basis, we designedfour cooperation levels for the team with the addition of an intel-ligent assistant system (IAS) agent. As a proof-of-concept, theselevels have been implemented for evaluation purposes in a teamcomposed of one human, one IAS, and two robots. In our study wedemonstrated the practical implementation of the proposed cooper-ation levels within a human-robot team, emphasizing the IntelligentAssistance System (IAS) agent’s ability to improve cooperation andtask efficiency in hazardous environments.
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