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| | width="100" | '''Hours spend:''' | | | width="100" | '''Hours spend:''' |
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| | The TAM: abstracting complex tasks in swarm robotics research | | |30-11-2015 |
| | Arne Brutschy, Lorenzo Garattoni,Manuele Brambilla,Gianpiero Francesca,Giovanni Pini,Marco Dorigo and Mauro Birattari
| | |Jesse, Alex, Simon and Guus |
| | Proposes an approach to abstract complex tasks in swarm robotics research, using TAM.
| | |Making a specific planning for the rest of the case and tried to find Harry van de Loo in order to ask about the availability of the mindstorm robots. |
| |2
| | |2 Hours each (=8 hours total) |
| |[[Media:The_TAM.pdf]]
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| |Ad Hoc Communication in Teams of Mobile Robots Using ZigBee Technology | |
| |AMADEU FERNANDES, MICAEL S. COUCEIRO, DAVID PORTUGAL, JOAO MACHADO SANTOS, RUI P. ROCHA
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| |The main aim of this paper is to implement and validate ad hoc wireless
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| communication functions between robotic teammates using the ZigBee technology.
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| |4
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| |[[Media:Zigbee.pdf]]
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| |The task allocation model based on repuattion for the heterogeneous multi-robot collaboration system
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| |Zhiguo Shi, Jumming Wei, Xujian Wei, et. al. | |
| |Article about assigning reputation to members on the swarm. Not useful to us, but has some nice references I want to check out.
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| |1
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| |[[Media:Zhiguo_Shi_et_al._-_2010_-_The_task_allocation_model_based_on_reputation_for_the_heterogeneous_multi-robot_collaboration_system.pdf]]
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| |A Model of Rescue Task in Swarm Robots System
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| |Liu B, Chen P, Wang G, et. al.
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| |Heavily inspired by the behaviour of ants:<br>
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| It describes a system in which a large swarm of robots moves pieces of "ruin piles" to "free space" communicating - inspired by the workings of an ant colony - by "feromones" which guide the robots to the piles and which decide the probability of a certain robot being assigned to a specific pile.<br>
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| Strongly related<br>
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| Doesn't seem to consider more than one robot moving the same object so still have to do that ourselves <br>
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| works much better for very large swarms<br>
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| |5
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| |[[Media:Liu,_Chen,_Wang_-_2013_-_A_Model_of_Rescue_Task_in_Swarm_Robots_System.pdf]]
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| |-
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| |Blackboard Mechanism Based Ant Colony Theory for Dynamic Deployment of Mobile Sensor Networks
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| |Qi G, Song P, Li K, et. al.
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| |Uses the "blackboard" approach to pheromones which is interesting since we probably don't want to use s physical pheromone, but a pheromone approach does seem to be highly applicable to our case<br>
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| | |
| has a lot of interesting references and also gives some nice details about path-finding using the pheromone approach.
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| |4
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| |[[Media:Qi,_Song,_Li_-_2008_-_Blackboard_Mechanism_Based_Ant_Colony_Theory_for_Dynamic_Deployment_of_Mobile_Sensor_Networks.pdf]]
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| |-
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| |Optimality of collective choices: a stochastic approach
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| |Nicolis S, Detrain C, Demolin D, et. al.
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| |(referenced by [Liu, Chen, Wang]) It's the description of the behaviour of ants on which the model in [Liu, Cheng, Wang] is based. It also gives optimal choices for pheromones.
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| |4
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| |[[Media:Nicolis_et_al._-_2003_-_Optimality_of_collective_choices_a_stochastic_approach.pdf]]
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| |-
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| |A hierarchical approach for primitive-based motion planning and control of autonomous vehicles
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| |Grymin D, Neas C, Farhood M, et. al.
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| |This is about finding a path to a goal. Useful since whenever a goal is first established by our swarm, we will need to find a good path (once)
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| |3
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| |[[Media:Grymin,_Neas,_Farhood_-_2014_-_A_hierarchical_approach_for_primitive-based_motion_planning_and_control_of_autonomous_vehicles.pdf]]
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| |-
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| |Social Cognitive Maps, Swarm Collective Perception and Distributed Search on Dynamic Landscapes
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| |Ramos V, Fernandes C, Rosa A, et. al.
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| |Lengthy introduction which gives a more philosophical view of the connection between swarm intelligence and intelligence in general.<br>
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| Paper itself seems to give more details about how the pheromone concept can be used.<br>
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| Also mentions an other algorithm (Bacterial Foraging Optimization Algorithm) which we might want to check out, and has references to possibly useful Matlab code.
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| |4
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| |[[Media:Ramos,_Fernandes,_Rosa_-_2005_-_Social_Cognitive_Maps,_Swarm_Perception_and_Distributed_Search_on_Dynamic_Landscapes.pdf]]
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| |-
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| |Swarm intelligence and stigmergy: robotic implementation of foraging behavior
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| |Edelen M
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| |Thesis referenced by [Liu, Chen, Wang] http://drum.lib.umd.edu/handle/1903/107 <br>
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| Quite a lot of info (a whole book), might be useful for details if we get stuck but don't want to read it in its entirety
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| |3
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| |-
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| |Guest editorial advances in multirobot systems
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| |Arai T, Pagello E, Parker L, et. al.
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| |An overview
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| |2
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| |[[Media:Arai,_Pagello,_Parker_-_2002_-_Guest_editorial_advances_in_multirobot_systems.pdf]]
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| |-
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| |Research Advance in Swarm Robotics
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| |Tan Y, Zheng Z
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| |An overview
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| |2
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| |[[Media:Tan,_Zheng_-_2013_-_Research_Advance_in_Swarm_Robotics.pdf]]
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| |-
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| |Advanced swarm robots addressing innovative tasks such as assembly, search, rescue, mapping, communication, aerial and other original applications
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| |Richard Bloss
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| |A really short overview
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| |1
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| |[[Media:Advanced_swarm_robots_addressing_innovative_tasks_such_as_assembly,_search,_rescue,_mapping,_communication,_aerial_a.pdf]]
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| |-
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| |Integrated multi-agent system framework: decentralised search, tasking and tracking
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| |He Z, Su R, Meng W, et. al.
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| |Mostly for finding and tracking moving targets
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| |1
| |
| |[[Media:He_et_al._-_2015_-_Integrated_multi-agent_system_framework_decentralised_search,_tasking_and_tracking.pdf]]
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| |-
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| |Multiple targets enclosure by robotic swarm
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| |Kubo M, Sato H, Yoshimura T, et. al.
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| |Paper claims it is useful for disaster sites, but I'm not sure why.
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| |2 | |
| |[[Media:Kubo_et_al._-_2014_-_Multiple_targets_enclosure_by_robotic_swarm.pdf]]
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| |-
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| |Benchmark of swarm robotics distributed techniques in a search task
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| |Couceiro M, Vargas P, Rocha R, et. al.
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| |Compairs different search algorithms for swarms
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| |3 or 4
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| |[[Media:Couceiro_et_al._-_2014_-_Benchmark_of_swarm_robotics_distributed_techniques_in_a_search_task.pdf]]
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| |- | | |- |
| |} | | |} |