Academic literature on the topic 'Agoraphilic'

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Journal articles on the topic "Agoraphilic"

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McFetridge, L., and M. Y. Ibrahim. "A new methodology of mobile robot navigation: The agoraphilic algorithm." Robotics and Computer-Integrated Manufacturing 25, no. 3 (June 2009): 545–51. http://dx.doi.org/10.1016/j.rcim.2008.01.008.

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Hewawasam, Hasitha, Yousef Ibrahim, and Gayan Kahandawa. "A Novel Optimistic Local Path Planner: Agoraphilic Navigation Algorithm in Dynamic Environment." Machines 10, no. 11 (November 16, 2022): 1085. http://dx.doi.org/10.3390/machines10111085.

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This paper presents a novel local path planning algorithm developed based on the new free space attraction (Agoraphilic) concept. The proposed algorithm is capable of navigating robots in unknown static, as well as dynamically cluttered environments. Unlike the other navigation algorithms, the proposed algorithm takes the optimistic approach of the navigation problem. It does not look for problems to avoid, but rather for solutions to follow. This human-like decision-making behaviour distinguishes the new algorithm from all the other navigation algorithms. Furthermore, the new algorithm utilises newly developed tracking and prediction algorithms, to safely navigate mobile robots. This is further supported by a fuzzy logic controller designed to efficiently account for the inherent high uncertainties in the robot’s operational environment at a reduced computational cost. This paper also includes physical experimental results combined with bench-marking against other recent methods. The reported results verify the algorithm’s successful advantages in navigating robots in both static and dynamic environments.
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Dupuis-Déri. "Who’s afraid of the people? The debate between political agoraphobia and political agoraphilia." Global Discourse 8, no. 2 (April 3, 2018): 238–56. http://dx.doi.org/10.1080/23269995.2018.1468607.

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Hewawasam, H. S., M. Yousef Ibrahim, Gayan Kahandawa, and T. A. Choudhury. "Agoraphilic navigation algorithm in dynamic environment with obstacles motion tracking and prediction." Robotica, May 28, 2021, 1–19. http://dx.doi.org/10.1017/s0263574721000588.

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Abstract This paper presents a new algorithm to navigate robots in dynamically cluttered environments. The proposed algorithm uses basic concepts of space attraction (hence the term Agoraphilic) to navigate robots through dynamic obstacles. The new algorithm in this paper is an advanced development of the original Agoraphilic navigation algorithm that was only able to navigate robots in static environments. The Agoraphilic algorithm does not look for obstacles (problems) to avoid but rather for a free space (solutions) to follow. Therefore, it is also described as an optimistic navigation algorithm. This algorithm uses only one attractive force created by the available free space. The free-space concept allows the Agoraphilic algorithm to overcome inherited challenges of general navigation algorithms. However, the original Agoraphilic algorithm has the limitation in navigating robots only in static, not in dynamic environments. The presented algorithm was developed to address this limitation of the original Agoraphilic algorithm. The new algorithm uses a developed object tracking module to identify the time-varying free spaces by tracking moving obstacles. The capacity of the algorithm was further strengthened by the new prediction module. Future space prediction allowed the algorithm to make decisions considering future growing/diminishing free spaces. This paper also includes a bench-marking study of the new algorithm compared with a recently published APF-based algorithm under a similar operating environment. Furthermore, the algorithm was validated based on experimental tests and simulation tests.
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Hewawasam, Hasitha Sanjeewa, Yousef Ibrahim, Gayan Kahandawa, and Tanveer Choudhury. "Agoraphilic Navigation Algorithm under Dynamic Environment." IEEE/ASME Transactions on Mechatronics, 2021, 1. http://dx.doi.org/10.1109/tmech.2021.3085943.

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Dissertations / Theses on the topic "Agoraphilic"

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Hewawasam, Hasitha. "Agoraphilic navigation algorithm in dynamic environment." Thesis, Federation University Australia, 2021. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/181889.

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This thesis presents a novel Agoraphilic (free space attraction [FSA])-based navigation algorithm. This new algorithm is capable of undertaking local path planning for robot navigation in static and dynamic environments with the presence of a moving goal. The proposed algorithm eliminates the common weaknesses of the existing navigation approaches when operating in unknown dynamic environments while using the modified Agoraphilic concept. The Agoraphilic Navigation Algorithm in Dynamic Environment (ANADE) presented in this thesis does not look for obstacles (problems) to avoid; rather, it looks for free space (solutions) to follow. Therefore, this algorithm is also a human-like optimistic navigation algorithm. The proposed algorithm creates a set of Free Space Forces (FSFs) based on the current and future growing free space around the robot. These Free Space Forces are focused towards the current and future locations of a moving goal and finally generate a single attractive force. This attractive force pulls the robot through current free space towards the future growing free space leading to the goal. The new free space concept allows the ANADE to overcome many common problems of navigation algorithms. Several versions of the ANADE have been developed throughout this research to overcome the main limitation of the original Agoraphilic algorithm and address the common weaknesses of the existing navigation approaches. The ANADE I uses an object tracking method to identify the states (locations) of moving objects accurately. The ANADE II uses a dynamic obstacle prediction methodology to identify the robot’s future environments. In the ANADE III, a novel controller based on fuzzy logic was developed and combined with the new FSA concept to provide optimal navigational solutions at a low computational cost. In the ANADE III, the effectiveness of the ANADE II was further improved by incorporating the velocity vectors of the moving objects into decision-making. In the ANADE IV, a self-tuning system was successfully applied to the ANADE III to take advantage of the performances of free space attraction-based navigation algorithms. The proposed final version of the algorithm (ANADE V) comprises nine main modules. These modules are repeatedly used to create the robot’s driving force, which pulls the robot towards the goal (moving or static). An obstacle tracking module is used to identify the time-varying free spaces by tracking the moving objects. Further, a tracking system is also used to track the moving goal. The capacity of the ANADE was strengthened further by obstacle and goal path prediction modules. Future location prediction allowed the algorithm to make decisions by considering future environments around the robot. This is further supported by a self-tuning, machine learning–based controller designed to efficiently account for the inherent high uncertainties in the robot’s operational environment at a reduced computational cost. Experimental and simulation-based tests were conducted under dynamic environments to validate the algorithm. Further, the ANADE was benchmarked against other recently developed navigation algorithms. Those tests were focused on the behaviour of the algorithm under challenging environments with moving and static obstacles and goals. Further, the test results demonstrate that the ANADE is successful in navigating robots under unknown, dynamically cluttered environments.
Doctor of Philosophy
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Cory, Lindsay Ann. "AgoraPHILIA: A Place for Assembly in Square Viger, Montreal." Thesis, 2012. http://spectrum.library.concordia.ca/973758/1/Cory_MA_S2012.pdf.

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Square Viger was designed as an opulent and lush Victorian park in the mid- nineteenth century for the use of nearby wealthy residents. The park had trees lining promenades, benches, fountains, and a glass greenhouse. Over time, the influx of industry brought more working class citizens to the Ville-Marie borough and pushed the bourgeoisie to other areas in the early twentieth century. Historians of Montreal’s built environment mark this change in demographic as the decline of the park. Since then the park has undergone drastic redevelopment due to changes in transportation infrastructure. Sculptor Charles Daudelin (1920-2001) redesigned the site and built the Agora in 1983, but his designs were met with animosity from the media and the public the site was intended for. Using archival research, interviews with artists, and site analysis, this thesis investigates the Agora’s appropriation by homeless groups and individuals and the artistic interventions the site has also incurred. Square Viger is a telling example of Montreal’s push for modernization but is also an indication of the large-scale redevelopment projects that have taken place on the island. In March 2012, Square Viger has been defined as a threatened emblematic site by Heritage Montreal and its redevelopment looms in the very near future. With this redevelopment, I believe the social-cultural and design heritage of the site and the Agora will be forgotten. With this research, I present a methodologically inclusive investigation into this fraught public space and its values as a space for appropriation, community, and artistic practice.
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Book chapters on the topic "Agoraphilic"

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Scanlon, Christopher, and John Adlam. "Agoraphilia and agoraphobia." In Psycho-social Explorations of Trauma, Exclusion and Violence, 74–90. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003223115-6.

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Hartley, John. "Agoraphilia." In The Politics of Pictures, 28–41. Routledge, 2017. http://dx.doi.org/10.4324/9781315002095-3.

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Dupuis-Déri, Francis. "Who’s afraid of the people? The debate between political agoraphobia and political agoraphilia." In The Radical Left and Social Transformation, 82–100. Routledge, 2020. http://dx.doi.org/10.4324/9780429024580-8.

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Conference papers on the topic "Agoraphilic"

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Hewawasam, H. S., M. Yousef Ibrahim, and Gayan Kahandawa. "Machine Learning-Based Agoraphilic Navigation Algorithm." In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2022. http://dx.doi.org/10.1109/iecon49645.2022.9968327.

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Hewawasam, H. S., M. Yousef Ibrahim, Gayan Kahandawa, and T. A. Choudhury. "Development and Bench-marking of Agoraphilic Navigation Algorithm in Dynamic Environment." In 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). IEEE, 2019. http://dx.doi.org/10.1109/isie.2019.8781352.

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Hewawasam, H. S., M. Yousef Ibrahim, Gayan Kahandawa, and T. A. Choudhury. "The Agoraphilic Navigation Algorithm under Dynamic Environment with a Moving Goal." In 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE). IEEE, 2021. http://dx.doi.org/10.1109/isie45552.2021.9576270.

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Hewawasam, H. S., M. Yousef Ibrahim, Gayan Kahandawa, and T. A. Choudhury. "Evaluating the Performances of the Agoraphilic Navigation Algorithm under Dead-Lock Situations." In 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE). IEEE, 2020. http://dx.doi.org/10.1109/isie45063.2020.9152280.

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Hewawasam, H. S., M. Yousef Ibrahim, Gayan Kahandawa, and T. A. Choudhury. "Agoraphilic Navigation Algorithm in Dynamic Environment with and without Prediction of Moving Objects Location." In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2019. http://dx.doi.org/10.1109/iecon.2019.8927145.

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