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Neural Network Algorithm for Coordinated Multi-Robot Hunting - Latika Pinjarkar,Poorva Agrawal,Gagandeep Kaur

English
2024-06-17
€50.54 €63.18

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The multi robot system requires a proper coordination among multiple robots,proper distribution of the sub - tasks such as task allocation, path planning, obstacle avoidance and many more other sub problems. All these sub problems must be taken into consideration for the effective execution of the system. In multi robot hunting, the robots hunt the evaders; the robots require recognizing their team members ... Full description

Description

The multi robot system requires a proper coordination among multiple robots,proper distribution of the sub - tasks such as task allocation, path planning, obstacle avoidance and many more other sub problems. All these sub problems must be taken into consideration for the effective execution of the system. In multi robot hunting, the robots hunt the evaders; the robots require recognizing their team members and considering their current positions and capabilities to catch the stationary or moving evaders effectively through the cooperating path planning approach. This research work is aimed to design a solution to problem of multi - robot hunting in an unknown environment. The robots in the field do not have information about the area like where the obstacles and evaders are positioned. The dynamic environment is considered in this work. The objective of this work is to provide solution which will incur less computation overhead to the robots and reduce the overall hunting steps. Initial contribution of research work introduces the problem of hunting in an unknown environment.

More Information

Author Latika Pinjarkar, Poorva Agrawal, Gagandeep Kaur
Publisher LAP LAMBERT Academic Publishing
Release year 2024
Cover type Softcover
EAN 9786207805341
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€50.54 €63.18