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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM36572
Volume:
8 |
7 |
Jul 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The progress of robots and swarm intelligence signals a new era in deep space exploration. This study focuses on deploying a swarm of 150 extremely advanced robots, each equipped with spectroscopic, atmospheric, radial velocity, and gravitational wave sensors, to investigate prospective exoplanets in the Draco constellation. These robots are programmed to act independently, using swarm intelligence to effectively map and analyze celestial entities. The cylindrical shape of each robot, along with an ion propulsion system, offers maximum mobility and energy economy. Communication technologies provide reliable data flow between the swarm and Earth-based stations, improving the precision of data gathering and processing. Beyond exploration, these swarm robots include manipulator arms that can execute complex construction and disassembly activities on spacecraft or other hardware in orbit. This dual capability not only increases the robots’ value in distant space missions, but it also creates new opportunities for on-orbit building and maintenance. These robots can dramatically minimize the expense and danger involved with human space trips by allowing them to autonomously assemble huge structures and service existing satellites. This study highlights the potential for merging sophisticated sensor technologies, swarm intelligence, and robotic dexterity to transform space exploration and operations. The findings show that such a swarm can effectively traverse the Draco constellation, discover exoplanets, and conduct difficult jobs in space. Future developments in propulsion systems, sensor technologies, and artificial intelligence will further improve the capabilities of these robotic swarms, making them crucial for the next generation of space missions.
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Publication Date
7/18/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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