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Optimally Covering An Unknown Environment With Ant-Like STC Algorithm

Optimally Covering An Unknown Environment With Ant-Like STC AlgorithmSemester: Winter 2010-2011
Students: Majd Srour and Anis Abboud 
Instructor: Yotam Elor

Many insects interact by leaving pheromone traces in the environment. In this project the robot mimics that behavior by working on a floor covered with Phosphorescent color.

 

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Swarm

SwarmSemester: Winter 2010-2011
Students: Nir Hershko and Ranit Gottesman 
Instructor: Yotam Elor

Winner of the Amdocs Project Competition of 2010!

Swarm is an educational game presenting the power and beauty of muti-robot systems. A series of multi-robot tasks is presented to the player. The player is required to design and program robots that perform the tasks. A simple graphic interface is used to build and program(!) the robots. 

 

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Optimally Covering An Unknown Indoor Environment

Optimally Covering An Unknown Indoor EnvironmentSemester: Winter 2011
Students: Majd Srour and Anis Abboud
Instructors: Yotam Elor

Winner of the Amdocs Project Competition of 2011!

 

 

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Circle Mark Ant Walk

Circle Mark Ant WalkSemseter: Spring 2010

Students: Kiril & Anna

Instructor: Yotam Elor

In this project the students have implemented a continuous domain covering algorithm.

 

 

 

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A Thermodynamic Approach To The Analysis Of Multi-Robot Cooperative Localization

A Thermodynamic Approach To The Analysis Of Multi-Robot Cooperative LocalizationSemseter: Spring 2010

Students: Oshrat & Ariella

Instructor: Yotam Elor

In this project the students have implemented the cooperative localization algorithm described here.

 

 

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Multi-Agent Graph Patrolling And Partitioning

Multi-Agent Graph Patrolling And PartitioningSemseter: Spring 2010

Students: Alexandra & Oded

Instructor: Yotam Elor

In this project the students have implemented the patrolling algorithm described here.

 

 

 

 

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Network Vaccination Simulator

Network Vaccination Simulator

By: Sagi Ben Moshe

Instructor: Yaniv Altshuler

This simulation attempts to test a simple model of the Vaccination Algorithm against the state of the art algorithm of message flooding.

 

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Mark And Cover (Mac)

Mark And Cover (Mac)By: Yehuda Gan-El, David Yaron, Moran Shochat

Supervisors: Prof. Michael Lindenbaum, Dr. Israel Wagner

Implementing MAC Algorithm using Mobile Robot and Video Camera.

 

 

 

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Glow In The Dark Paint As Pheromones

Glow In The Dark Paint As Pheromones

By Yariv Katz and Yair Segal

Supervised by Yotam Elor and Prof. Alfred M. Bruckstein

Hardware (robot) construction and support: Sergey Danielian


In this project the robots have mimicked a simple line following behavior of ants. One robot (the leader) had marked a line by charging the Phosphorescent color on the floor. The second robot had followed the line using two light sensors.

 

 

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MARS Flock

f11V-Shape Flocking

Carried out Elad Leibovitz and Danny Albocher.
Guided by Noam Gordon.
Supervised by Prof. Alfred M. Bruckstein.

In this project, we investigate the properties of a flock of birds in the fimiliar V formation. We study the considerations a single bird applies while finding its place in the formation. We use these presumable considerations to implement an algorithm for a single bird in the flock, and examine the outcome under various assumptions when putting several birds together. In order to imitate reality as much as possible, each bird is unaware of its friends' decisions, and is unable to communicate with them. There is no "centeral brain" controlling all birds, and each has to make a decision using very limited and noisy sensors.

 

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Indoors Mapping Using MARS

Indoors Mapping Using MARS

Improvement of Mapping by Odometry using MARS

Carried out by Ken Fox and Tomer Altman.
Guided by Noam Gordon and Ronen Keidar.
Supervised by Prof. Alfred M. Bruckstein.

The main objective of this project is to improve the accuracy of the odometry by averaging the estimated locations available from two robots when these two are close to each other.
A simulation system was built in order to test and estimate the performances of different suggested algorithms and a Lego based robotic system was built in order to execute and prove the practicality of the MARS solution.

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