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Development of bio-inspired robotic platform
networks for environmental monitoring
Ph.D. Candidate: Emanuele Caselli
• Challenge: development of a self-known positioned robotic network for
pollutant source finding and mapping.
• Purpose: prevent intoxication and environmental monitoring.
• Animal approach: bird, fish, and insect perform swarm behaviors for
task solution.
• Optimization: swarm intelligence from the world of social insects.
• Relative positioning: each robot knows its position and orientation
respect each other through a binaural sonar technique.
• Solution: (variable number of) small size single agent robots that
implement swarm behavior.
• First Results: Design and development of the MOMO (Multi-robots for
Odor MOnitoring) Platform.

Created by: admin last modification: Tuesday 22 of July, 2008 [09:45:21 UTC] by admin

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