Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments
Date
2022-09-10
Author
ÖNÜR, GİRAY
Turgut, Ali Emre
Şahin, Erol
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
208
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/99045
Conference Name
13th International Conference on Swarm Intelligence: ANTS 2022
Collections
Department of Mechanical Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments
Önür, Giray; Turgut, Ali Emre; Şahin, Erol (2022-09-10)
Flocking, coordinated movement of individuals, widely observed in animal societies, and it is commonly used to guide robot swarms in cluttered environments. In standard flocking models, robot swarms often use local interactions between the robots and obstacles to achieve safe collective motion using virtual forces. However, these models generally involve parameters that must be tuned specifically to the environmental layout to avoid collisions. In this paper, we propose a predictive flocking model that can ...
Mind the Gap: Reconciling Formalism and Intuitionism in Computational Design Research
Mennan, Zeynep (Delft University of Technology, 2014)
The paper discusses the epistemological and methodological implications of an increasing process of formalisation and naturalisation of knowledge within the context of the complexity paradigm. This process is argued to induce a shift in the nature of notations and representations, to which corresponds an epistemic shift from a graphic to a computational rationality, with substantial effects on current design methodologies and strategies used in computational design. The shortcomings of a heavy formalism are...
Mind Your Manners! A Dataset and a Continual Learning Approach for Assessing Social Appropriateness of Robot Actions
Tjomsland, Jonas; Kalkan, Sinan; Gunes, Hatice (2022-03-01)
To date, endowing robots with an ability to assess social appropriateness of their actions has not been possible. This has been mainly due to (i) the lack of relevant and labelled data and (ii) the lack of formulations of this as a lifelong learning problem. In this paper, we address these two issues. We first introduce the Socially Appropriate Domestic Robot Actions dataset (MANNE RS-DB), which contains appropriateness labels of robot actions annotated by humans. Secondly, we train and evaluate a baseline ...
Mind-Mapping Turkeys Refugee Policy
Yıldırım, Onur (null; 2017-11-29)
Break the Wall of English Language Education
Yu, Xiaoli (null; 2019-05-01)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
G. ÖNÜR, A. E. Turgut, and E. Şahin, “Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments,” presented at the 13th International Conference on Swarm Intelligence: ANTS 2022, Malaga, İspanya, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99045.