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| The TAM: abstracting complex tasks in swarm robotics research
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|30-11-2015
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| Arne Brutschy, Lorenzo Garattoni,Manuele Brambilla,Gianpiero Francesca,Giovanni Pini,Marco Dorigo and Mauro Birattari
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|Jesse, Alex, Simon and Guus
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| Proposes an approach to abstract complex tasks in swarm robotics research, using TAM.
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|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.
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|2
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|2 Hours each (=8 hours total)
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|[[Media:The_TAM.pdf]]
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|Ad Hoc Communication in Teams of Mobile Robots Using ZigBee Technology
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|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.
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|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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|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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|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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|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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|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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|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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|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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|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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|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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|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
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|[[Media:He_et_al._-_2015_-_Integrated_multi-agent_system_framework_decentralised_search,_tasking_and_tracking.pdf]]
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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
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|[[Media:Kubo_et_al._-_2014_-_Multiple_targets_enclosure_by_robotic_swarm.pdf]]
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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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Revision as of 11:05, 30 November 2015

Date: Student(s): Task: Hours spend:
30-11-2015 Jesse, Alex, Simon and Guus 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 Hours each (=8 hours total)
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