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Multi-agent approach for task allocation and scheduling in cooperative heterogeneous multi-robot team: Simulation results
The paper presents a new approach for robots tasks allocation and scheduling in order to minimize the total execution time (makespan) of a mission while satisfying all the tasks constraints. This approach is implemented in a multi-agent architecture for remote control of heterogeneous multi-robot sy...
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Main Authors: | , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | The paper presents a new approach for robots tasks allocation and scheduling in order to minimize the total execution time (makespan) of a mission while satisfying all the tasks constraints. This approach is implemented in a multi-agent architecture for remote control of heterogeneous multi-robot systems. The agents controlling the robots coordinate their actions and cooperate to achieve the assigned mission. The proposed approach is carried out in two phases. During the first phase, a negotiation process (based on the Contract-net protocol) is carried out between the agents of the system to allocate the tasks to the robot proposing the minimal execution time (cost). In the second phase, a local scheduling process based on priority rules is carried out by the corresponding agent for each allocated task in order to minimize its inoccupation (idle) time. |
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ISSN: | 1935-4576 2378-363X |
DOI: | 10.1109/INDIN.2015.7281731 |