SWARM
Multi-Robot-Multi-Target Path Planning and Position Estimation for Disaster area
Shin nyeong Heo, Sheng yu Lu, Hee‐Hyol Lee
- Year
- 2018
- Citations
- 8
Abstract
This paper proposes a multi-robot-multi-target path planning for disaster area and position estimation. The A* algorithm is improved to reduce calculation time for multi-robots using a heap optimization and multi-robot-multi-target algorithm. Then, a position estimation using Kalman filter is used for accurate position estimation for multiple path planning.
Keywords
Motion planningComputer scienceRobotPosition (finance)Kalman filterPath (computing)Heap (data structure)Extended Kalman filterMobile robotEstimation
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