Distributed control of multi-robot systems using bifurcating potential fields [PDF]
, 2010 The distributed control of multi-robot systems has been shown to have advantages over conventional single robot systems. These include scalability, flexibility and robustness to failures.
Bennet, Derek J., McInnes, C.R.
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Distributed Weighted Coverage for Multi-Robot Systems in Non-Convex Environment
Applied Sciences, 2023 Multi-robot coverage systems are widely used in operations such as environmental monitoring, disaster rescue, and pollution prevention. This study considers inherent positioning errors in positioning systems and ground mobile robots with limited ...
Kai Cao +4 more
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Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey
Sensors, 2023 Deep reinforcement learning has produced many success stories in recent years. Some example fields in which these successes have taken place include mathematics, games, health care, and robotics. In this paper, we are especially interested in multi-agent
James Orr, Ayan Dutta
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Multi-robot cooperative autonomous exploration via task allocation in terrestrial environments
Frontiers in Neurorobotics, 2023 Cooperative autonomous exploration is a challenging task for multi-robot systems, which can cover larger areas in a shorter time or path length. Using multiple mobile robots for cooperative exploration of unknown environments can be more efficient than a
Xiangda Yan +3 more
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Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision
IEEE Access, 2020 Search and rescue (SAR) operations can take significant advantage from supporting autonomous or teleoperated robots and multi-robot systems. These can aid in mapping and situational assessment, monitoring and surveillance, establishing communication ...
Jorge Pena Queralta +8 more
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Heuristics and Rescheduling in Prioritised Multi-Robot Path Planning: A Literature Review
Machines, 2023 The benefits of multi-robot systems are substantial, bringing gains in efficiency, quality, and cost, and they are useful in a wide range of environments from warehouse automation, to agriculture and even extend in part to entertainment.
James R. Heselden, Gautham P. Das
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Deep Learning Techniques for Visual SLAM: A Survey
IEEE Access, 2023 Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable attention in recent years. This task involves using visual sensors to localize a robot while simultaneously constructing an internal representation of its environment ...
Saad Mokssit +3 more
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Multi-robot Systems: Modeling Swarm Dynamics and Designing Inspection Planning Algorithms [PDF]
, 2006 For a variety of applications, the capability of simultaneous sensing and action in multiple locations that is inherent to multi-robot approaches offers potential advantages over single robot systems in robustness, efficiency, and application feasibility.
Williams, Kjerstin Irja
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The Curious Robot - Structuring Interactive Robot Learning [PDF]
, 2009 Lütkebohle I, Peltason J, Schillingmann L, et al. The Curious Robot - Structuring Interactive Robot Learning. In: International Conference on Robotics and Automation.
S. Wachsmuth +13 more
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Sensor coverage with a multi-robot system [PDF]
2007 IEEE 22nd International Symposium on Intelligent Control, 2007 The present paper develops a novel strategy for the exploration of an unknown environment with a multi-robot system. It is required that the entire free space is covered by the sensors of the robots, with a certainty of 100%. Communication between the robots is restricted to line-of-sight and to a maximum interdistance between robots.
Rogge, Jonathan, Aeyels, Dirk
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