Collaborative multi-robot exploration

By Wolfram Burgard, Mark Moors, Dieter Fox, Reid G. Simmons, Sebastian Thrun. Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 2000

887 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/e5052aab7378e053f32c357e40b8ee89e4eb13e2

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Citations in the corpus

Simultaneous Localization and Mapping with Sparse Extended Information Filters (2004, background): “On-line SLAM is of great practical importance in many navigation and exploration problems (Burgard et al. 2000; Simmons et al. 2000).”
Coordination for Multi-Robot Exploration and Mapping (2000, background): “The work reported here extends our earlier efforts [2] in several important ways.”
Cooperative Minimum Time Surveillance With Multiple Ground Vehicles (2010, background): “These problems are sometimes referred to as exploration and mapping, and examples include [28] and [29].”
Multi-robot Simultaneous Localization and Mapping using Particle Filters (2005, methodology): “example, use the incomplete map to navigate, find frontiers for exploration (Yamauchi et al. 1998; Burgard et al. 2000), or plan a rendezvous with another robot (Roy and Dudek 2001; Ko et al.”
Learning Occupancy Grid Maps with Forward Sensor Models (2003, positive): “investigated building such maps while simultaneously localizing the robot [4, 23, 27] and during robot exploration [ 5 , 21, 22, 26].”
Control of Multiple UAVs for Persistent Surveillance: Algorithm and Flight Test Results (2012, background): “2167331 vast amount of literature deals with problems involving obstacles and sensing uncertainties [14].”
Convergence-Preserving Switching for Topology-Dependent Decentralized Systems (2008, positive): “[1]–[5], large tea ms present new challenges.”
A Probabilistic On-Line Mapping Algorithm for Teams of Mobile Robots (2001, methodology): “The on-line characteristic is important for a range of practical problems, such as the robot exploration problem, where mapping is constantly interleaved with decision making as to where to move next (Burgard et al. 2000; Simmons et al. 2000).”
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers (2022, background): “Early works such as [105], [223] present an approach for choosing appropriate frontiers, while simultaneously taking into account their utility and the cost of reaching them.”
Kilobot: A low cost scalable robot system for collective behaviors (2012, background): “topics that explore algorithms to control these robotic collectives, such as self-assembly [1, 21, 19], collective construction [5, 9], and exploration [8, 24], to name a few.”
An Incremental Self-Deployment Algorithm for Mobile Sensor Networks (2002, methodology): “On the otherhand, theheuristicsusedby bothSimmons[19] and Burgard [3] to selectgoalpoints for explorationarestrikingly similar to theheuristicsusedin this paper to select goal points for deployment (seeSection3.”
A system for volumetric robotic mapping of abandoned mines (2003, methodology): “We believe that existing techniques for mobile robot exploration [ 7 ], [19], [23] can be adapted for the purpose of autonomously exploring mines.”
Robotic mapping: a survey (2003, background): “Today’s approaches are usually greedy, that is, they chose control by greedily maximizing information gain [12, 17, 89, 105], sometimes under consideration of safety constraints [37].”
Distributed Multirobot Exploration and Mapping (2005, methodology): “This area is estimated by the size of the unknown area visible from the frontier [1].”