Fetching the paper…
Reading the bibliography…
In swarm robotics, decentralized control is often proposed as a more scalable and fault-tolerant alternative to centralized control.
Marjovi A, Nunes JG, Marques L, De Almeida A (2009) Multi-robot exploration and fire searching. In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, pp 1929–1934
1934
Earlier work this paper cites.
Wang PK (1991) Navigation strategies for multiple autonomous mobile robots moving in formation. Journal of Robotic Systems 8(2):177–195
1991
Earlier work this paper cites.
Choset H, Pignon P (1998) Coverage path planning: The boustrophedon cellular decomposition. In: Field and service robotics, Springer, pp 203–209
1998
Earlier work this paper cites.
Ichikawa S, Hara F (1999) Characteristics of object-searching and object-fetching behaviors of multi-robot system using local communication. In: Proceedings of 1999 IEEE Int. Conf.on Systems, Man, and Cybernetics, IEEE, vol 4, pp 775–781
1999
Earlier work this paper cites.
Koenig S, Liu Y (2001) Terrain coverage with ant robots: a simulation study. In: Proceedings of the fifth international conference on Autonomous agents, Association for Computing Machinery, pp 600–607
2001
Earlier work this paper cites.
Ge SS, Fua CH (2005) Complete multi-robot coverage of unknown environments with minimum repeated coverage. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, IEEE, pp 715–720
2005
Earlier work this paper cites.
Schmickl T, Möslinger C, Crailsheim K (2006) Collective perception in a robot swarm. In: International Workshop on Swarm Robotics, Springer, pp 144–157
2006
Earlier work this paper cites.
Baxter JL, Burke E, Garibaldi JM, Norman M (2007) Multi-robot search and rescue: A potential field based approach. In: Autonomous robots and agents, Springer, pp 9–16
2007
Earlier work this paper cites.
Rekleitis I, New AP, Rankin ES, Choset H (2008) Efficient boustrophedon multi-robot coverage: an algorithmic approach. Annals of Mathematics and Artificial Intelligence 52(2):109–142
2008
Earlier work this paper cites.
Comets F, Popov S, Schütz GM, Vachkovskaia M (2009) Billiards in a general domain with random reflections. Archive for rational mechanics and analysis 191(3):497–537
2009
Earlier work this paper cites.
Mondada F, Bonani M, Raemy X, Pugh J, Cianci C, Klaptocz A, Magnenat S, Zufferey JC, Floreano D, Martinoli A (2009) The e-puck, a robot designed for education in engineering. In: Proceedings of the 9th Conf. on Autonomous Robot Systems and Competitions, pp 59–65
2009
Earlier work this paper cites.
Kaddoum E, Raibulet C, Georgé JP, Picard G, Gleizes MP (2010) Criteria for the evaluation of self-* systems. In: Proceedings of the 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, pp 29–38
2010
Earlier work this paper cites.
Stirling T, Wischmann S, Floreano D (2010) Energy-efficient indoor search by swarms of simulated flying robots without global information. Swarm Intelligence 4(2):117–143
2010
Earlier work this paper cites.
Mirzaei M, Sharifi F, Gordon BW, Rabbath CA, Zhang Y (2011) Cooperative multi-vehicle search and coverage problem in uncertain environments. In: 2011 50th IEEE Conference on Decision and Control and European Control Conference, IEEE, pp 4140–4145
2011
Earlier work this paper cites.
Wang B (2011) Coverage problems in sensor networks: A survey. ACM Computing Surveys 43(4):1–53
2011
Earlier work this paper cites.
Campbell S, Naeem W, Irwin GW (2012) A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres. Annual Reviews in Control 36(2):267–283
2012
Earlier work this paper cites.
Juliá M, Gil A, Reinoso O (2012) A comparison of path planning strategies for autonomous exploration and mapping of unknown environments. Autonomous Robots 33(4):427–444
2012
Earlier work this paper cites.
Pinciroli C, Trianni V, O’Grady R, Pini G, Brutschy A, Brambilla M, Mathews N, Ferrante E, Di Caro G, Ducatelle F, Birattari M, Gambardella LM, Dorigo M (2012) ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems. Swarm intelligence 6(4):271–295
2012
Earlier work this paper cites.
Galceran E, Carreras M (2013) A survey on coverage path planning for robotics. Robotics and Autonomous Systems 61(12):1258–1276
2013
Earlier work this paper cites.
Hamann H (2013) Towards swarm calculus: Urn models of collective decisions and universal properties of swarm performance. Swarm Intelligence 7(2):145–172
2013
Cited alongside, same era.
Avellar GS, Pereira GA, Pimenta LC, Iscold P (2015) Multi-UAV routing for area coverage and remote sensing with minimum time. Sensors 15(11):27,783–27,803
2015
Cited alongside, same era.
Maftuleac D, Lee SK, Fekete SP, Akash AK, López-Ortiz A, McLurkin J (2015) Local policies for efficiently patrolling a triangulated region by a robot swarm. In: 2015 IEEE Int. Conf. on Robotics and Automation (ICRA), IEEE, pp 1809–1815
2015
Cited alongside, same era.
Scherer J, Yahyanejad S, Hayat S, Yanmaz E, Andre T, Khan A, Vukadinovic V, Bettstetter C, Hellwagner H, Rinner B (2015) An autonomous multi-UAV system for search and rescue. In: Proceedings of the 1st Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use, pp 33–38
2015
Cited alongside, same era.
Liu Y, Bucknall R (2018) A survey of formation control and motion planning of multiple unmanned vehicles. Robotica 36(7):1019–1047
2018
Later among the works it cites.
Luo W, Sycara K (2018) Adaptive sampling and online learning in multi-robot sensor coverage with mixture of gaussian processes. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp 6359–6364
2018
Later among the works it cites.
Miki T, Popović M, Gawel A, Hitz G, Siegwart R (2018) Multi-agent time-based decision-making for the search and action problem. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp 2365–2372
2018
Later among the works it cites.
Nedić A, Olshevsky A, Rabbat MG (2018) Network topology and communication-computation tradeoffs in decentralized optimization. Proceedings of the IEEE 106(5):953–976
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Valentini G, Hamann H, Dorigo M (2015) Efficient decision-making in a self-organizing robot swarm: On the speed versus accuracy trade-off. In: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, pp 1305–1314
2015
Cited alongside, same era.
Jovanović MR, Dhingra NK (2016) Controller architectures: Tradeoffs between performance and structure. European Journal of Control 30:76–91
2016
Cited alongside, same era.
Yu J, LaValle SM (2016) Optimal multirobot path planning on graphs: Complete algorithms and effective heuristics. IEEE Transactions on Robotics 32(5):1163–1177
2016
Cited alongside, same era.
Albani D, Nardi D, Trianni V (2017) Field coverage and weed mapping by UAV swarms. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, pp 4319–4325
2017
Cited alongside, same era.
Deshpande A, Kumar M, Ramakrishnan S (2017) Robot swarm for efficient area coverage inspired by ant foraging: the case of adaptive switching between brownian motion and lévy flight. In: ASME 2017 Dynamic Systems and Control Conference, American Society of Mechanical Engineers Digital Collection
2017
Cited alongside, same era.
Eberhardinger B, Anders G, Seebach H, Siefert F, Knapp A, Reif W (2017) An approach for isolated testing of self-organization algorithms. In: Software Engineering for Self-Adaptive Systems III. Assurances, Springer, pp 188–222
2017
Cited alongside, same era.
Lima DA, Oliveira GM (2017) A cellular automata ant memory model of foraging in a swarm of robots. Applied Mathematical Modelling 47:551–572
2017
Cited alongside, same era.
Mathews N, Christensen AL, O’Grady R, Mondada F, Dorigo M (2017) Mergeable nervous systems for robots. Nature communications 8(439)
2017
Cited alongside, same era.
Thabit S, Mohades A (2018) Multi-robot path planning based on multi-objective particle swarm optimization. IEEE Access 7:2138–2147
2018
Later among the works it cites.
Almadhoun R, Taha T, Seneviratne L, Zweiri Y (2019) A survey on multi-robot coverage path planning for model reconstruction and mapping. SN Applied Sciences 1(8):847
2019
Later among the works it cites.
Huang X, Arvin F, West C, Watson S, Lennox B (2019) Exploration in extreme environments with swarm robotic system. In: 2019 IEEE International Conference on Mechatronics (ICM), IEEE, pp 193–198
2019
Later among the works it cites.
Kegeleirs M, Garzón Ramos D, Birattari M (2019) Random walk exploration for swarm mapping. In: Annual conference towards autonomous robotic systems, Springer, pp 211–222
2019
Later among the works it cites.
McGuire K, De Wagter C, Tuyls K, Kappen H, de Croon GC (2019) Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment. Science Robotics 4(35)
2019
Later among the works it cites.
Nazarahari M, Khanmirza E, Doostie S (2019) Multi-objective multi-robot path planning in continuous environment using an enhanced genetic algorithm. Expert Systems with Applications 115:106–120
2019
Later among the works it cites.
Santos M, Mayya S, Notomista G, Egerstedt M (2019) Decentralized minimum-energy coverage control for time-varying density functions. In: 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), IEEE, pp 155–161
2019
Later among the works it cites.
Siligardi L, Panerati J, Kaufmann M, Minelli M, Ghedini C, Beltrame G, Sabattini L (2019) Robust area coverage with connectivity maintenance. In: 2019 International Conference on Robotics and Automation (ICRA), IEEE, pp 2202–2208
2019
Later among the works it cites.
Jamshidpey A, Zhu W, Wahby M, Allwright M, Heinrich MK, Dorigo M (2020) Multi-robot coverage using self-organized networks for central coordination. In: Swarm Intelligence – Proceedings of ANTS 2020 – 12th International Conference, Springer, Lecture Notes in Computer Science, vol 12421, pp 216–228
2020
Later among the works it cites.
Zhu W, Allwright M, Heinrich MK, Oğuz S, Christensen AL, Dorigo M (2020) Formation control of UAVs and mobile robots using self-organized communication topologies. In: Swarm Intelligence – Proceedings of ANTS 2020 – 12th International Conference, Springer, Lecture Notes in Computer Science, vol 12421, pp 306–314
2020
Later among the works it cites.
Pang B, Song Y, Zhang C, Yang R (2021) Effect of random walk methods on searching efficiency in swarm robots for area exploration. Applied Intelligence pp 1–11
2021
Later among the works it cites.
Jamshidpey A, Dorigo M, Heinrich MK (2023) Reducing uncertainty in collective perception using self-organizing hierarchy. Intelligent Computing 2:0044
2023
Later among the works it cites.
Zhang Y, Oguz S, Wang S, Garone E, Wang X, Dorigo M, Heinrich MK (2024) Self-reconfigurable hierarchical frameworks for formation control of robot swarms. IEEE Transactions on Cybernetics 54(1):87–100
2024
Closest in time.
Zhu W, Oğuz S, Heinrich MK, Allwright M, Wahby M, Christensen AL, Garone E, Dorigo M (2024) Self-organizing nervous systems for robot swarms. Science Robotics 9(96):eadl5161, DOI 10.1126/scirobotics.adl5161
2024
Closest in time.