Brain Computer Interfaces for the Control of Robotic Swarms
| Abstract | A robotic swarm can be defined as a large group of inexpensive, interchangeable robots with limited sensing and/or actuating capabilities that cooperate (explicitly or implicitly) based on local communications and sensing in order to complete a mission. Its inherent redundancy provides flexibility and robustness to failures and environmental disturbances which guarantee the proper completion of the required task. At the same time, human intuition and cognition can prove very useful in extreme situations where a fast and reliable solution is needed. This idea led to the creation of the field of Human-Swarm Interfaces (HSI) which attempts to incorporate the human element into the control of robotic swarms for increased robustness and ... (more) |
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| Created Date | 2017 |
| Contributor | Karavas, Georgios Konstantinos (Author) / Artemiadis, Panagiotis (Advisor) / Berman, Spring M. (Committee member) / Lee, Hyunglae (Committee member) / Arizona State University (Publisher) |
| Subject | Engineering / Neurosciences / Computer science / Brain Computer Interfaces / Human Swarm Interfaces / Swarms |
| Type | Masters Thesis |
| Extent | 103 pages |
| Language | English |
| Copyright |
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| Reuse Permissions | All Rights Reserved |
| Note | Masters Thesis Mechanical Engineering 2017 |
| Collaborating Institutions | Graduate College / ASU Library |
| Additional Formats | MODS / OAI Dublin Core / RIS |
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