|Date:||Student(s):||Task:||Hours spend:||PDF File|
|The TAM: abstracting complex tasks in swarm robotics research||Arne Brutschy, Lorenzo Garattoni,Manuele Brambilla,Gianpiero Francesca,Giovanni Pini,Marco Dorigo and Mauro Birattari||Proposes an approach to abstract complex tasks in swarm robotics research, using TAM.||2||Media:The_TAM.pdf|
|Ad Hoc Communication in Teams of Mobile Robots Using ZigBee Technology||AMADEU FERNANDES, MICAEL S. COUCEIRO, DAVID PORTUGAL, JOAO MACHADO SANTOS, RUI P. ROCHA||The main aim of this paper is to implement and validate ad hoc wireless
communication functions between robotic teammates using the ZigBee technology.
|The task allocation model based on repuattion for the heterogeneous multi-robot collaboration system||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.||1||Media:Zhiguo_Shi_et_al._-_2010_-_The_task_allocation_model_based_on_reputation_for_the_heterogeneous_multi-robot_collaboration_system.pdf|
|A Model of Rescue Task in Swarm Robots System||Liu B, Chen P, Wang G, et. al.||Heavily inspired by the behaviour of ants:
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.
|Blackboard Mechanism Based Ant Colony Theory for Dynamic Deployment of Mobile Sensor Networks||Qi G, Song P, Li K, et. al.||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
has a lot of interesting references and also gives some nice details about path-finding using the pheromone approach.
|Optimality of collective choices: a stochastic approach||Nicolis S, Detrain C, Demolin D, et. al.||(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.||4||Media:Nicolis_et_al._-_2003_-_Optimality_of_collective_choices_a_stochastic_approach.pdf|
|A hierarchical approach for primitive-based motion planning and control of autonomous vehicles||Grymin D, Neas C, Farhood M, et. al.||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)||3||Media:Grymin,_Neas,_Farhood_-_2014_-_A_hierarchical_approach_for_primitive-based_motion_planning_and_control_of_autonomous_vehicles.pdf|
|Social Cognitive Maps, Swarm Collective Perception and Distributed Search on Dynamic Landscapes||Ramos V, Fernandes C, Rosa A, et. al.||Lengthy introduction which gives a more philosophical view of the connection between swarm intelligence and intelligence in general.
Paper itself seems to give more details about how the pheromone concept can be used.
Also mentions an other algorithm (Bacterial Foraging Optimization Algorithm) which we might want to check out, and has references to possibly useful Matlab code.
|Swarm intelligence and stigmergy: robotic implementation of foraging behavior||Edelen M||Thesis referenced by [Liu, Chen, Wang] http://drum.lib.umd.edu/handle/1903/107
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
|Guest editorial advances in multirobot systems||Arai T, Pagello E, Parker L, et. al.||An overview||2||Media:Arai,_Pagello,_Parker_-_2002_-_Guest_editorial_advances_in_multirobot_systems.pdf|
|Research Advance in Swarm Robotics||Tan Y, Zheng Z||An overview||2||Media:Tan,_Zheng_-_2013_-_Research_Advance_in_Swarm_Robotics.pdf|
|Advanced swarm robots addressing innovative tasks such as assembly, search, rescue, mapping, communication, aerial and other original applications||Richard Bloss||A really short overview||1||Media:Advanced_swarm_robots_addressing_innovative_tasks_such_as_assembly,_search,_rescue,_mapping,_communication,_aerial_a.pdf|
|Integrated multi-agent system framework: decentralised search, tasking and tracking||He Z, Su R, Meng W, et. al.||Mostly for finding and tracking moving targets||1||Media:He_et_al._-_2015_-_Integrated_multi-agent_system_framework_decentralised_search,_tasking_and_tracking.pdf|
|Multiple targets enclosure by robotic swarm||Kubo M, Sato H, Yoshimura T, et. al.||Paper claims it is useful for disaster sites, but I'm not sure why.||2||Media:Kubo_et_al._-_2014_-_Multiple_targets_enclosure_by_robotic_swarm.pdf|
|Benchmark of swarm robotics distributed techniques in a search task||Couceiro M, Vargas P, Rocha R, et. al.||Compairs different search algorithms for swarms||3 or 4||Media:Couceiro_et_al._-_2014_-_Benchmark_of_swarm_robotics_distributed_techniques_in_a_search_task.pdf|