Difference between revisions of "Log"

From Control Systems Technology Group
Jump to navigation Jump to search
(Replaced content with '{| border="1" cellpadding="5" cellspacing="0" align="center" style="margin-left: 3em;" |- | width="325" | '''Date:''' | width="325" | '''Student(s):''' | width="325" | '''Tas…')
Line 6: Line 6:
| width="100" | '''Hours spend:'''
| width="100" | '''Hours spend:'''
|-
|-
| 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]]
|-
|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.
|4
|[[Media:Zigbee.pdf]]
|-
|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:<br>
 
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>
 
Strongly related<br>
Doesn't seem to consider more than one robot moving the same object so still have to do that ourselves <br>
works much better for very large swarms<br>
|5
|[[Media:Liu,_Chen,_Wang_-_2013_-_A_Model_of_Rescue_Task_in_Swarm_Robots_System.pdf]]
|-
|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<br>
 
has a lot of interesting references and also gives some nice details about path-finding using the pheromone approach.
|4
|[[Media:Qi,_Song,_Li_-_2008_-_Blackboard_Mechanism_Based_Ant_Colony_Theory_for_Dynamic_Deployment_of_Mobile_Sensor_Networks.pdf]]
|-
|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.<br>
 
Paper itself seems to give more details about how the pheromone concept can be used.<br>
 
Also mentions an other algorithm (Bacterial Foraging Optimization Algorithm) which we might want to check out, and has references to possibly useful Matlab code.
|4
|[[Media:Ramos,_Fernandes,_Rosa_-_2005_-_Social_Cognitive_Maps,_Swarm_Perception_and_Distributed_Search_on_Dynamic_Landscapes.pdf]]
|-
|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 <br>
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
|3
|
|-
|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]]
|-
|-
|}
|}

Revision as of 12:05, 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)