swarm robotics - latest seminar topics for engineering … · swarm robotics lecturer: roderich...
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Swarm Robotics
Lecturer: Roderich Gross
1Companion slides for the book Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies by Dario Floreano and Claudio Mattiussi, MIT Press
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Outline
Why swarm robotics?
Example domains:
• Coordinated exploration• Transportation and clustering• Reconfigurable robots
Summary
Stigmergy revisitedStigmergy revisited
2Companion slides for the book Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies by Dario Floreano and Claudio Mattiussi, MIT Press
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Sources of Inspiration
3Companion slides for the book Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies by Dario Floreano and Claudio Mattiussi, MIT Press
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Example
4Companion slides for the book Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies by Dario Floreano and Claudio Mattiussi, MIT Press
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Key Properties
• Composed of many individuals
• The individuals are relatively homogeneous.
• The individuals are relatively incapable.
• The interactions among the individualsThe interactions among the individuals are based on simple behavioral rules that exploit only local information.
• The overall behavior results from a self-organized process.
5Companion slides for the book Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies by Dario Floreano and Claudio Mattiussi, MIT Press
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Technological Motivations
• Robustness
• Scalability
• Versatility / flexibility
• Super linearity
• Low cost?• Low cost?
6Companion slides for the book Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies by Dario Floreano and Claudio Mattiussi, MIT Press
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Coordinated Exploration
1. Environmental monitoring2 Pheromone robotics2. Pheromone robotics3. Chaining
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Example 1: Environmental Monitoring
• Swarm of mobile robots for localizing an odor source
• Simple behaviors based on odor and wind detection
• Communication can help to increase the efficiency.
Hayes et al., 2002
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Example 2: Pheromone Robotics
• robot dispersionrobot dispersion
• gradient (via hop counts)
• shortest path• shortest path
• pheromone diffussion / evaporationPayton et al., 2005
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Example 3: Chaining• Limited sensing range
Si li f l (di ti l h i )• Signaling of colors (directional chains)
Nouyan et al., 2009
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Example 3: Chaining (Cont.) Mondada et al., 2005
Chains in prey retrieval (division of labor)Nouyan et al., 2009
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Transportation and Clustering
1. Coordinated box pushing2 Blind bulldozing2. Blind bulldozing3. Clustering
C4. Cooperative Manipulation
12Companion slides for the book Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies by Dario Floreano and Claudio Mattiussi, MIT Press
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Example 1: Coordinated Box PushingKube and Zhang, 1993; Kube and Bonabeau, 2000
• Task requires cooperation
• No explicit communicationNo explicit communication
• Behavior-based approach
• Ant-inspired stagnation recovery mechanism• Ant-inspired stagnation recovery mechanism
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Example 2: Blind Bulldozing
Force itisensitive
plow
Nest construction by antsFranks et al., 1992
Nest construction by robotsParker et al., 2003
14
, ,
Companion slides for the book Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies by Dario Floreano and Claudio Mattiussi, MIT Press
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Example 3: ClusteringClustering and sorting behavior can be observed in several ant species. Important mechanisms:• stigmergic communication• stigmergic communication• positive & negative feedback
Example rule (N = #objects experienced in a short time window):1. Probability to pick up an object: inversely proportional to N2. Probability to deposit an object: directly proportional to Ny p j y p p
Cemetery clusters in Messor sancta,in Messor sancta,26 hours in total,1500 corpses
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Example 4: Cooperative ManipulationDesert ants cooperate to pull out of the ground long sticks (too long for a single ant). This behavior can be reproduced with a group of robotswith a group of robots.How long to wait for a teammate?
Super-linear performance: # sticks retrieved per robotis optimal for ca 6 robot groupsis optimal for ca. 6-robot groups.
Ijspeert et al., 2001
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Reconfigurable RobotsA modular robot, usually composed of several identical components, which can be re-organized to create p , gmorphologies suitable for different tasks.
Inspiration:Inspiration: • cells (cellular automata)• individuals (swarm intelligence)
• Chain-type reconfigurable robots• Lattice-type reconfigurable robots• Mobile reconfigurable robots• Further types of reconfigurable robots
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Reconfigurable Robots
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Chain Type Example: CONRO
• Fully self-containedPin hole connector (+latch)• Pin-hole connector (+latch)
• Infrared-based guidance• Docking relatively complexDocking relatively complex• Good mobility
ISI, USC; Castano et al., 2000
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Chain Type Example: CONRO
Control can cope with s dden changes in thesudden changes in the robot’s morphology.
AdapTronics Group & ISI, USC
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Chain Type Example: PolyBotPARC, 2000; Yim et al., 2002
Self-reconfiguration of PolyBot
• 1 DOF module• Power PC 555
E t ll d• Externally powered
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Lattice Type Example: A-TRON
• Two half-spheres• 4 male and 4 female connectors• Self-docking is relatively simple.
Self reconfiguration can require• Self-reconfiguration can require many steps.
The Maersk McKinney Moller Inst., Univ. of Southern Denmark
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Lattice Type Example: A-TRON
The Maersk McKinney Moller Inst., Univ. of Southern Denmark
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Hybrid Example: M-TRAN M-TRAN III (2005 -)
• Hybrid: lattice type & chain type• Magnets or actuated mechanical hooks• Magnets or actuated mechanical hooks• Cellular Automata rules
AIST; Murata et al., 2002
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Physical Cooperation of Mobile IndividualsPassing a gap Nest building
Gro ped FallGrouped Fall Plugging potholes in the trail
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From Swarming Ants to Swarm-bots
26Laboratory of Intelligent Systems http://lis.epfl.ch 26
Autonomous Systems Labhttp://asl.epfl.ch
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Mobile Reconfigurable RobotsMobile units assemble into connected entitiesthat are larger and stronger than any individual unit.g g y
Mondada et al., 2005; Gross et al., 2006
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Example: Search & Rescue
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Example: Search & Rescue (Cont.)
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Other Types of Reconfigurable Robotsyp g• Relative displacement without moving parts• Electro-magnet rings• Electro-magnet rings• Conversion of electrical to kinetic energy
ClaytronicsGoldstein et al., 2005
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Other Types of Reconfigurable Robotsyp g
Stochastic reconfiguration of passively moving parts
PPTUniv. of Washington; Klavins et al., 2005
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“Hierarchical” Organization
Meta-modules 1 Anatomy-based 2Meta modules Anatomy based
1,2 The Maersk McKinney Moller Inst., Univ. of Southern Denmark2 Intel Research Pittsburgh
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Summary
Swarm Intelligence: Key properties and technological motivationsKey properties and technological motivations
Coordinated Exploration
Physical cooperation in ants and robots
Reconfigurable robots
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Stigmergy Revisited
Communication through modification of the environment.The result of work by an individual leaves a persistent signThe result of work by an individual leaves a persistent sign that affects the actions of (possibly other) individuals.Stimuli-response loopStimuli-response loop
From Camazine et al., 2001 (Smith, 1978)
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Stigmergy Revisited
Testing how building activities are coordinated.
Redundant structuresHole incorporatedHole incorporatedby human
From Camazine et al., 2001 (Smith, 1978)
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Stigmergy Revisited
Nest construction rules (wasp combs)
Camazine et al., 2001
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Stigmergy Revisited
Deterministic rule:
Add cell to corner area if 2 or 3 adjacent walls are present.
Probabilistic rule:
Camazine et al., 2001
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Stigmergy – Distributed Construction
Grushin and Reggia, 2006
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Termites Video
h // b / h? 0 7 dG f QU
Attenborough (BBC)
http://www.youtube.com/watch?v=0m7odGafpQU
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