2023
DOI: 10.11591/eei.v12i4.3869
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Distributed formation control for groups of mobile robots using consensus algorithm

Abstract: The increasing implementation of autonomous robots in industries and daily life demands the development of a robust control algorithm that enables robots to perform their tasks successfully. Critical tasks such as rescue missions and area exploration require robots to work cooperatively in a formation to accomplish the tasks quickly. Moreover, the existence of obstacles in the environment requires all the robots' to rapidly process environmental changes to maintain the formation pattern. Thus, this paper intro… Show more

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“…Where the primary objective of using consensus protocol is to synchronize the motion of robots to reach a common position or velocity in order to establish a certain geometric shape. Different control strategies have been used alongside with consensus protocol to address the formation control problem, these include Model predictive control [14], Backstepping techniques [15,16], Sliding mode control [17][18][19] and other control schemes [20,21].…”
Section: Introductionmentioning
confidence: 99%
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“…Where the primary objective of using consensus protocol is to synchronize the motion of robots to reach a common position or velocity in order to establish a certain geometric shape. Different control strategies have been used alongside with consensus protocol to address the formation control problem, these include Model predictive control [14], Backstepping techniques [15,16], Sliding mode control [17][18][19] and other control schemes [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…Lemma 3. The time interval required for any initial state ๐‘’ โ‰  0 to reach the equilibrium state ๐‘’ = 0 along the sliding surface defined in (20), can be calculated as:…”
mentioning
confidence: 99%