Coordination of Rescue Robots for Real-Time Exploration Over Disaster Areas

Sugiyama, Hisayoshi; Tsujioka, Tetsuo; Murata, Masashi

doi:10.1109/isorc.2008.38

Cited by 20 publications

(22 citation statements)

References 10 publications

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“…In addition to these, the robot team may also be interfaced with one or more human operators to which the robots report task information that can be used to support task coordination (e.g. (Sugiyama et al, 2008)). The adopted control architecture for many robot systems, either alone or working in a team is a hybrid comprising deliberative and behavioural components with the balance between the two determined by the task performed and the scale and number of robot systems (Balch & Parker, 2002;Bekey, 2005;Schultz & Parker, 2002).…”

Section: Requirements For Multiple Robots Working In Multiple Teamsmentioning

confidence: 99%

Robot Teams and Robot Team Players

McKee¹,

Varghese²

2011

Multi-Robot Systems, Trends and Development

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Section: Requirements For Multiple Robots Working In Multiple Teamsmentioning

confidence: 99%

Robot Teams and Robot Team Players

McKee¹,

Varghese²

2011

Multi-Robot Systems, Trends and Development

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“…Among other applications, a multi-robot inspection systems for disaster-stricken areas, autonomous multi-robot security systems, and autonomous multi-robot conveyance systems for warehouses have been developed [1]- [3]. However, the real world, where such MARSs are expected to operate, is a dynamic environment that complicates the development of the systems because developers must customize the robots to this dynamic environment.…”

Section: Introductionmentioning

confidence: 99%

Transfer Learning Method Using Ontology for Heterogeneous Multi-agent Reinforcement Learning

Kono¹,

Kamimura²,

Tomita³

et al. 2014

ijacsa

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Abstract-This paper presents a framework, called the knowledge co-creation framework (KCF), for heterogeneous multiagent robot systems that use a transfer learning method. A multiagent robot system (MARS) that utilizes reinforcement learning and a transfer learning method has recently been studied in realworld situations. In MARS, autonomous agents obtain behavior autonomously through multi-agent reinforcement learning and the transfer learning method enables the reuse of the knowledge of other robots' behavior, such as for cooperative behavior. Those methods, however, have not been fully and systematically discussed. To address this, KCF leverages the transfer learning method and cloud-computing resources. In prior research, we developed ontology-based inter-task mapping as a core technology for hierarchical transfer learning (HTL) method and investigated its effectiveness in a dynamic multi-agent environment. The HTL method hierarchically abstracts obtained knowledge by ontological methods. Here, we evaluate the effectiveness of HTL with a basic experimental setup that considers two types of ontology: action and state.

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“…A coordination procedure for a multi-robot rescue system that performs real-time exploration of disaster areas is introduced in [2]. Autonomous robotic strategies for urban search and rescue, which use map-based semi-autonomous robot navigation and fully autonomous robotic search are described in [3].…”

Section: Introductionmentioning

confidence: 99%

Autonomous mobile platform for enhanced situational awareness in Mass Casualty Incidents

Yang

Schafer

Wang

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-To enhance the efficiency of the search and rescue process of a Mass Casualty Incident, we introduce a low cost autonomous mobile platform. The mobile platform motion is controlled by an Android Smartphone mounted on a robot. The pictures and video captured by the Smartphone camera can significantly enhance the situational awareness of the incident commander leading to a more efficient search and rescue process. Moreover, the active RFID readers mounted on the mobile platform can improve the localization accuracy of victims in the disaster site in areas where the paramedics are not present, reducing the triage and evacuation time.

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Coordination of Rescue Robots for Real-Time Exploration Over Disaster Areas

Cited by 20 publications

References 10 publications

Robot Teams and Robot Team Players

Robot Teams and Robot Team Players

Transfer Learning Method Using Ontology for Heterogeneous Multi-agent Reinforcement Learning

Autonomous mobile platform for enhanced situational awareness in Mass Casualty Incidents

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