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This paper focuses on the development of a multi-agent based robot telesupervision architecture for hazardous materials detection. By combining the supervisors' advanced reasoning capabilities with the robots' local autonomous capacities, this architecture is designed to maximize the safety and efficiency of robot supervisors to detect and deal with hazardous materials. The multi-agent framework not...
We developed an intelligent agent, RoboLeader, that could assist human operators in route planning for a team of ground robots. We compared the operators' target detection performance in the 4-robot and 8-robot conditions. Results showed that the participants detected significantly less targets and had significantly worse situation awareness when there were 8 robots compared to the 4-robot condition...
The dynamics of human-machine interactions can vary from simple to complex. It spans a range that go from basic rule-based serial stimulus-response exchanges to more realistic bi-directional interactions that evolve in real-time according to (possibly) complex laws. Increasingly, a subset of such systems, those between humans and humanoid robots has been drawing more scrutiny because of their potential...
Recently, multi-agent systems have been discussed to realize a large size of distributed autonomous system. This paper proposes an intelligent control method for formation behaviors of multi-robot. First of all, we discuss the current state of researches on formation behaviors in multi-robot. Next, we propose a multi-objective behavior coordination to realize formation behavior based on the integration...
Several key issues about the teleoperation system for semi-autonomous reconnaissance robot have been addressed. A human-robot collaborative semi-autonomous mobile robot architecture (SAMRA) which combine the complementary capabilities of both robot's local autonomy and human intelligence is proposed firstly. Then, a novel autonomous mission executive mechanism based on macro behavior and a hybrid...
Recently, multi-agent systems have been discussed to realize a large size of distributed autonomous system. This paper proposes an intelligent control method based on directionality of multiple partner robots. First of all, we discuss the current state of researches on the multi-agent systems. Next, we propose a multi-objective behavior coordination to realize formation behavior based on the integration...
One of the most challenging goals in artificial intelligence (AI) is to develop a team of autonomous agents with human-performance. In a team-based multi-agent system with cooperative and opponent team agents, the ability to build a coordinated system of game strategies can be useful to provide the agents with team plans to achieve common goals. These team plans are used to make agents decide which...
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