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Modeling Adaptive Robot Swarms

Modeling Adaptive Robot Swarms

Modeling Adaptive Robot Swarms. Not an Inverse Problem. Kristina Lerman Aram Galstyan USC Information Sciences Institute. Why Analyze Adaptive Systems?. To predict Behavior of the system under new conditions Aspects of the system not studied experimentally Large numbers of robots

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465 views • 32 slides
Q( ? )-Learning Fuzzy Controller for the Homicidal Chauffeur Differential Game

Q( ? )-Learning Fuzzy Controller for the Homicidal Chauffeur Differential Game

Q( ? )-Learning Fuzzy Controller for the Homicidal Chauffeur Differential Game. Presented by: Prof. Howard M. Schwartz Badr M. Al Faiya Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada . 20th Mediterranean Conference on Control and Automation - MED 2012

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418 views • 23 slides
Bioinspired Computing Lecture 4

Bioinspired Computing Lecture 4

Bioinspired Computing Lecture 4. Collective Behaviour and Swarm Intelligence. Last Time: command & control vs. self-organisation the sophisticated abilities of insect colonies stigmergy algorithms inspired by insect intelligence Foraging Clustering & Sorting Building Swarming & Flocking.

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342 views • 22 slides
How do we know that we solved vision?

How do we know that we solved vision?

How do we know that we solved vision?. 16-721: Learning-Based Methods in Vision A. Efros, CMU, Spring 2009. Columbia Object Image Library (COIL-100) (1996). Corel Dataset. Yu & Shi, 2004. Average Caltech categories (Torralba). { }. all photos. Flickr.com. Flickr Paris. Real Paris.

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325 views • 21 slides

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