COSΦ: Vision-based Artificial Pheromone System for Robotic Swarms

Krajník, Tomáš
Arvin, Farshad
Turgut, Ali Emre
Yue, Shigang
Duckett, Tom
IEEE International Conference on Robotics and Automation (ICRA 2015)


COS Phi: Artificial Pheromone System for Robotic Swarms Research
Arvin, Farshad; Krajnik, Tomas; Turgut, Ali Emre; Yue, Shigang (2015-10-02)
Pheromone-based communication is one of the most effective ways of communication widely observed in nature. It is particularly used by social insects such as bees, ants and termites; both for inter-agent and agent-swarm communications. Due to its effectiveness; artificial pheromones have been adopted in multi-robot and swarm robotic systems for more than a decade. Although, pheromone-based communication was implemented by different means like chemical (use of particular chemical compounds) or physical (RFID...
CoSPAIR: Colored Histograms of Spatial Concentric Surflet-Pairs for 3D object recognition
Logoglu, K. Berker; Kalkan, Sinan; Temizel, Alptekin (2016-01-01)
Introduction of RGB-D sensors together with the efforts on open-source point-cloud processing tools boosted research in both computer vision and robotics. One of the key areas which have drawn particular attention is object recognition since it is one of the crucial steps for various applications. In this paper, two spatially enhanced local 3D descriptors are proposed for object recognition tasks: Histograms of Spatial Concentric Surflet-Pairs (SPAIR) and Colored SPAIR (CoSPAIR). The proposed descriptors ar...
CobART: Correlation Based Adaptive Resonance Theory
YAVAŞ, mustafa; Alpaslan, Ferda Nur (2009-06-26)
This paper introduces a new type of ART 2 network that performs satisfactory categorization for a domain where the patterns are constructed from consecutive analog inputs. The main contribution relies on the correlation analysis methods used for category-matching. The resulting network model is named as Correlation Based Adaptive Resonance Theory (CobART). Correlation waveform analysis and Euclidian distance methods are used to elicit correlation between the learned categories and the data fed to the network.
Co-gnito: A Participatory Physicalization Game for Urban Mental Mapping
Panagiotidou, Georgia; Görücü, Sinem; Nofal, Eslam; Akkar Ercan, Zübeyde Müge; Vande Moere, Andrew (2022-06-20)
This study introduces Co-gnito, a participatory physicalization game that supports collaborative urban mental mapping through storytelling. Through Co-gnito we investigate gaming as a means to elicit subjective spatial experiences and to steer the synchronous construction of a physicalization that aligns and represents them. Co-gnito was evaluated during seven deployments by analyzing how 28 players mapped their spatial experiences of two university campuses. Our results indicate that storytelling as a gami...
CoFe2O4 Nanocrystals Mediated Crystallization Strategy for Magnetic Functioned ZSM-5 Catalysts
Li, Bin; Yıldırım, Erol; Li, Wei; Qi, Dianpeng; Yu, Jiancan; Wei, Jiaqi; Liu, Zhiyuan; Sun, Zhenkun; Liu, Yong; Kong, Biao; Xue, Zhaoteng; Liu, Zhuangjian; Yang, Shuo-Wang; Chen, Xiaodong; Zhao, Dongyuan (2018-08-08)
Zeolites have many applications in the petrochemical and fine chemical industry and their functionalization does expand the spectrum of potentials. However, the integration of functional nanocrystals into zeolite frameworks with controlled size, dispersion, and crystallization behavior still remains a significant challenge. Here, a new synthesis of magnetic functioned ZSM-5 zeolite catalysts via a CoFe2O4 nanocrystal mediated crystallization strategy is reported. It is found that high crystallinity of CoFe2...
Citation Formats
T. Krajník, F. Arvin, A. E. Turgut, S. Yue, and T. Duckett, “COSΦ: Vision-based Artificial Pheromone System for Robotic Swarms,” presented at the IEEE International Conference on Robotics and Automation (ICRA 2015), Seattle, Amerika Birleşik Devletleri, 2015, Accessed: 00, 2022. [Online]. Available: