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Swarm robotics

swarm robotics, swarm robotics projects
Swarm robotics is a new approach to the coordination of multirobot systems which consist of large numbers of mostly simple physical robots It is supposed that a desired collective behavior emerges from the interactions between the robots and interactions of robots with the environment This approach emerged on the field of artificial swarm intelligence, as well as the biological studies of insects, ants and other fields in nature, where swarm behaviour occurs


  • 1 Definition
  • 2 Goals and applications
  • 3 See also
  • 4 References
  • 5 External links


The research of swarm robotics is to study the design of robots, their physical body and their controlling behaviours It is inspired but not limited by the emergent behaviour observed in social insects, called swarm intelligence Relatively simple individual rules can produce a large set of complex swarm behaviours A key-component is the communication between the members of the group that build a system of constant feedback The swarm behaviour involves constant change of individuals in cooperation with others, as well as the behaviour of the whole group The two other similar fields of study which more or less have the same team structure and almost the same goals are multi-robot exploration and multi-robot coverage

Unlike distributed robotic systems in general, swarm robotics emphasizes a large number of robots, and promotes scalability, for instance by using only local communication That local communication for example can be achieved by wireless transmission systems, like radio frequency or infrared

Goals and applications

Both miniaturization and cost are key-factors in swarm robotics These are the constraints in building large groups of robotics; therefore the simplicity of the individual team member should be emphasized This should motivate a swarm-intelligent approach to achieve meaningful behavior at swarm-level, instead of the individual level
Simple Swarmbots

A lot of research has been put into achieving this goal of simplicity at the individual robot level Being able to use actual hardware in research of Swarm Robotics in place of simulations allows researchers to come across and resolve a lot more issues and thus, broadens the scope of Swarm Research greatly Thus, development of simple robots for Swarm intelligence research is a very important aspect of the field The goals of these projects is manifold, including but not limited to keeping the cost of individual robots low in order to be able to make the swarms scale-able, making each member of the swarm less demanding in terms of resources and making them more power/energy efficient One such system of swarm is the LIBOT Robotic System that involves a low cost robot built for outdoor swarm robotics The robots are also made to have enough provisions for indoor use via Wi-Fi, since the GPS sensors provide poor communication inside buildings Another example of such an attempt is the micro robot Colias, built in the Computer Intelligence Lab at the University of Lincoln, UK This micro robot is built on a 4 cm circular chassis and is low-cost and open platform for use in a variety of Swarm Robotics applications

Potential applications for swarm robotics is indeed huge It includes tasks that demand for miniaturization nanorobotics, microbotics, like distributed sensing tasks in micromachinery or the human body One of the most promising uses of swarm robotics is in disaster rescue missions Swarms of robots of different sizes could be sent to places rescue workers can't reach safely to detect the presence of life via infra-red sensors On the other hand, swarm robotics can be suited to tasks that demand cheap designs, for instance mining tasks or agricultural foraging tasks Also some artists use swarm robotic techniques to realize new forms of interactive art

More controversially, swarms can be used in military to form an autonomous army Recently, the US Naval forces have tested a swarm of autonomous boats thatcan steer and take offensive actions by themselves The boats are unmanned and can be fitted with any kind of kit to deter and destroy enemy vessels

Most efforts have focused on relatively small groups of machines However, a swarm consisting of 1,024 individual robots was demonstrated by Harvard in 2014, the largest to date

Another large set of applications may be solved using swarms of micro aerial vehicles, which are also broadly investigated nowadays In comparison with the pioneering studies of swarms of flying robots using precise motion capture systems in laboratory conditions, current systems enable to control teams of micro aerial vehicles in outdoor environment using GNSS systems such as GPS or even stabilize them using onboard localization systems in GPS denied environment Swarms of micro aerial vehicles have been already tested in tasks of autonomous surveillance, plume tracking, and reconnaissance in a compact phalanx Besides, numerous works on cooperative swarms of unmanned ground and aerial vehicles have been conducted with target applications of cooperative environment monitoring, convoy protection, and moving target localization and tracking

See also

  • Ant robotics
  • Autonomous agents
  • Behavior-based robotics
  • Flocking behavior
  • Kilobot
  • List of emerging technologies
  • Microbot
  • Multi-agent systems
  • Nanomorph
  • Nanorobotics
  • Physicomimetics
  • Robotic Materials
  • Swarm intelligence


  1. ^ Ghasemlou, Shervin, Ali Mohades, Taher Abbas Shangari, and Mohammadreza Tavassoli "Homecoming:A multi-robot exploration method for conjunct environments with a systematic return procedure" In European Conference on Multi-Agent Systems, pp 111-127 Springer International Publishing, 2014
  2. ^ N Correll, D Rus Architectures and control of networked robotic systems In:Serge Kernbach Ed:Handbook of Collective Robotics, pp 81-104, Pan Stanford, Singapore, 2013
  3. ^ Zahugi, EMH; Shabani, AM; Prasad, TV, "Libot:Design of a low cost mobile robot for outdoor swarm robotics," Cyber Technology in Automation, Control, and Intelligent Systems CYBER, 2012 IEEE International Conference on , vol, no, pp342,347, 27–31 May 2012 doi:101109/CYBER20126392577
  4. ^ Arvin, F; Murray, JC; Licheng Shi; Chun Zhang; Shigang Yue, "Development of an autonomous micro robot for swarm robotics," Mechatronics and Automation ICMA, 2014 IEEE International Conference on , vol, no, pp635,640, 3-6 Aug 2014 doi:101109/ICMA20146885771
  5. ^ http://wwwcnncom/2014/10/06/tech/innovation/navy-swarm-boats/
  6. ^ "A self-organizing thousand-robot swarm" Harvard 14 August 2014 Retrieved 16 August 2014 
  7. ^ Kushleyev, A; Mellinger, D; Powers, C; Kumar, V, "Towards a swarm of agile micro quadrotors" Autonomous Robots, Volume 35, Issue 4, pp 287-300, November 2013
  8. ^ Vasarhelyi, G; Virágh, C; Tarcai, N; Somorjai, G; Vicsek, T Outdoor flocking and formation flight with autonomous aerial robots IEEE/RSJ International Conference on Intelligent Robots and Systems IROS 2014, 2014
  9. ^ Faigl, J; Krajnik, T; Chudoba, J; Preucil, L; Saska, M Low-Cost Embedded System for Relative Localization in Robotic Swarms In ICRA2013:Proceedings of 2013 IEEE International Conference on Robotics and Automation 2013
  10. ^ Saska, M; Vakula, J; Preucil, L Swarms of Micro Aerial Vehicles Stabilized Under a Visual Relative Localization In ICRA2014:Proceedings of 2014 IEEE International Conference on Robotics and Automation 2014
  11. ^ Saska, M MAV-swarms:unmanned aerial vehicles stabilized along a given path using onboard relative localization In Proceedings of 2015 International Conference on Unmanned Aircraft Systems ICUAS 2015
  12. ^ Saska, M; Chudoba, J; Preucil, L; Thomas, J; Loianno, G; Tresnak, A; Vonasek, V; Kumar, V Autonomous Deployment of Swarms of Micro-Aerial Vehicles in Cooperative Surveillance In Proceedings of 2014 International Conference on Unmanned Aircraft Systems ICUAS 2014
  13. ^ Saska, M; Langr J; L Preucil Plume Tracking by a Self-stabilized Group of Micro Aerial Vehicles In Modelling and Simulation for Autonomous Systems, 2014
  14. ^ Saska, M; Kasl, Z; Preucil, L Motion Planning and Control of Formations of Micro Aerial Vehicles In Proceedings of The 19th World Congress of the International Federation of Automatic Control 2014
  15. ^ Saska, M; Vonasek, V; Krajnik, T; Preucil, L Coordination and Navigation of Heterogeneous UAVs-UGVs Teams Localized by a Hawk-Eye Approach In Proceedings of 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems 2012
  16. ^ Saska, M; Vonasek, V; Krajnik, T; Preucil, L Coordination and Navigation of Heterogeneous MAV–UGV Formations Localized by a ‘hawk-eye’-like Approach Under a Model Predictive Control Scheme International Journal of Robotics Research 3310:1393–1412, September 2014
  17. ^ Kwon, H; Pack, D J A Robust Mobile Target Localization Method for Cooperative Unmanned Aerial Vehicles Using Sensor Fusion Quality Journal of Intelligent and Robotic Systems, Volume 65, Issue 1, pp 479-493, January 2012

External links

  • Fully decentralized robotic swarm performing collective search and exploration -- Applied Complexity Group and Motion, Energy Control Lab at SUTD
  • iWARD stands for Intelligent Robot Swarm for Attendance, Recognition, Cleaning and Delivery and funded by FP6
  • Swarm-bots:Swarms of self-assembling artifacts -- EU IST-FET project 2001-2005
  • Award-winning swarm-bot video at AAAI 2007
  • i-Swarm project -- EU IST-FET project 2004-2008
  • Swarmanoid:Towards Humanoid Robotic Swarms -- EU IST-FET project 2006-2010
  • Award-winning swarmanoid video at AAAI 2011
  • The Kilobot project
  • Epuck robots
  • Award-winning video on collective decisions in robots at AAAI 2015

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