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Yaniv Altshuler
Researcher at Massachusetts Institute of Technology
Publications - 82
Citations - 1835
Yaniv Altshuler is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Swarm behaviour & Social trading. The author has an hindex of 24, co-authored 78 publications receiving 1608 citations. Previous affiliations of Yaniv Altshuler include University of Haifa & Deutsche Telekom.
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Cooperative Cleaners: A Study in Ant Robotics
TL;DR: This work analyzes the problem of many simple robots cooperating to clean the dirty floor of a non-convex region in Z 2, using the dirt on the floor as the main means of inter-robot communication.
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Augmented Betweenness Centrality for Environmentally Aware Traffic Monitoring in Transportation Networks
TL;DR: A new traffic assignment model is suggested that is based on the concept of shortest path betweenness centrality measure, borrowed from the domain of complex network analysis, and it is shown how betweenness can be augmented in order to solve the traffic assignment problem given an arbitrary travel cost definition.
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Workforce optimization: identification and assignment of professional workers using constraint programming
TL;DR: By applying constraint programming, a subfield of artificial intelligence, this paper is able to deal successfully with the complex constraints encountered in the field and reach near-optimal assignments that take into account all resources and positions in the pool.
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Efficient cooperative search of smart targets using uav swarms1
TL;DR: This work examines the Cooperative Hunters problem, where a swarm of unmanned air vehicles is used for searching one or more “evading targets,” which are moving in a predefined area while trying to avoid a detection by the swarm.
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A Novel Linear Code ® Nomenclature for Complex Carbohydrates
Ehud Banin,Yael Neuberger,Yaniv Altshuler,Asaf Halevi,Ori Inbar,Dotan Nir,Avinoam Dukler,笠井 献一 +7 more
TL;DR: The Linear Code is a new syntax for representing glycoconjugates and their associated molecules in a simple linear fashion that enables the implementation of bioinformatics tools for investigation and analysis of glyco-molecules and their biology.