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Miguel Duarte
Design of Communication and Control for Swarms of
Aquatic Surface Drones
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The CORATAM and HANCAD proj...
Design of Communication and Control for Swarms of Aquatic Surface Drones
About me
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• BSc in Computer Science, University ...
Design of Communication and Control for Swarms of Aquatic Surface Drones
BIOMACHINES lab
• Established in 2011
• PI: Ander...
Design of Communication and Control for Swarms of Aquatic Surface Drones
Motivation
• Maritime missions are expensive to
c...
Design of Communication and Control for Swarms of Aquatic Surface Drones
Motivation
• Alternative: swarms of simple, inexp...
Design of Communication and Control for Swarms of Aquatic Surface Drones
Goals
• Develop a scalable, heterogeneous, and fa...
Design of Communication and Control for Swarms of Aquatic Surface Drones
Hardware
Breaking the Surface 2014
Design of Communication and Control for Swarms of Aquatic Surface Drones
Hardware
Breaking the Surface 2014
Hull material ...
Design of Communication and Control for Swarms of Aquatic Surface Drones
Control
• Problem: control for swarms of robots i...
Design of Communication and Control for Swarms of Aquatic Surface Drones
Preliminary results
Breaking the Surface 2014
[1]...
Design of Communication and Control for Swarms of Aquatic Surface Drones
Questions?
Breaking the Surface 2014
http://bioma...
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CORATAM presentation at Breaking the Surface 2014

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CORATAM presentation at Breaking the Surface 2014

  1. 1. ! ! ! Miguel Duarte Design of Communication and Control for Swarms of Aquatic Surface Drones ! The CORATAM and HANCAD projects Breaking the Surface 2014
  2. 2. Design of Communication and Control for Swarms of Aquatic Surface Drones About me ! • BSc in Computer Science, University Institute of Lisbon (2007-2010) • MSc in Computer Science, University Institute of Lisbon (2010-2012) • PhD in AI & Robotics, University Institute of Lisbon (2012-2015*) ! • Member of the BIOMACHINES lab and Instituto de Telecomunicações ! • Research interests: • automatic behavior synthesis • artificial evolution • swarm robotics Breaking the Surface 2014
  3. 3. Design of Communication and Control for Swarms of Aquatic Surface Drones BIOMACHINES lab • Established in 2011 • PI: Anders Lyhne Christensen • 2 faculty members, 4 PhD students, 2 MSc students (as of Oct 2014) • 40 publications in International Journals and Conferences • Collective intelligence • Automatic synthesis of control • Evolutionary computation • Self-assembly • Fault tolerance • http://biomachineslab.com Breaking the Surface 2014
  4. 4. Design of Communication and Control for Swarms of Aquatic Surface Drones Motivation • Maritime missions are expensive to carry out (manned vehicles with large operational crews) ! ! ! • Unmanned vehicles have the potential to lower such costs, but are still reasonably expensive (X0.000€), limiting their use to one or a low number of vehicles Breaking the Surface 2014
  5. 5. Design of Communication and Control for Swarms of Aquatic Surface Drones Motivation • Alternative: swarms of simple, inexpensive robots ! • Potential missions: environmental monitoring, sea life localization, sea border patrolling, distributed sensing, etc… ! • Benefits: robustness, fault tolerance, scalability, availability Breaking the Surface 2014
  6. 6. Design of Communication and Control for Swarms of Aquatic Surface Drones Goals • Develop a scalable, heterogeneous, and fault-tolerant ad-hoc network architecture for swarms of aquatic drones (HANCAD project) ! • Explore our novel control synthesis approach in a variety of real-world maritime missions (CORATAM project) ! • Release all software and hardware as open-source ! • Proof-of-concept experiments with up to 25 robots until Summer 2015 Breaking the Surface 2014
  7. 7. Design of Communication and Control for Swarms of Aquatic Surface Drones Hardware Breaking the Surface 2014
  8. 8. Design of Communication and Control for Swarms of Aquatic Surface Drones Hardware Breaking the Surface 2014 Hull material 
 Extruded polystyrene foam (XPS), milled in a CNC machine
  9. 9. Design of Communication and Control for Swarms of Aquatic Surface Drones Control • Problem: control for swarms of robots is difficult to manually derive ! • Potential solution: hybrid approach [1]: • Behavior primitives are artificial neural networks synthesized using evolutionary algorithms (scalable, adaptable, robust, automatic) • Behavior arbitrators are simple finite state-machines that decide when each primitive should be executed (simple, easy to change for different missions) Breaking the Surface 2014 [1] M. Duarte, S. M. Oliveira and A. L. Christensen, "Evolution of Hybrid Robotic Controllers for Complex Tasks", Journal of Intelligent and Robotic Systems, 2014.
  10. 10. Design of Communication and Control for Swarms of Aquatic Surface Drones Preliminary results Breaking the Surface 2014 [1] M. Duarte, S. M. Oliveira and A. L. Christensen, "Hybrid Control for Large Swarms of Aquatic Drones", Proceedings of ALIFE, 2014. Top Level Behavior Arbitrator Behavior Primitive Patrol Behavior Primitive Behavior Primitive Go To Waypoint Pursue Intruder
  11. 11. Design of Communication and Control for Swarms of Aquatic Surface Drones Questions? Breaking the Surface 2014 http://biomachineslab.com

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