Multi-robot collaboration for robust exploration
Annals of Mathematics and Artificial Intelligence
Collaborative Exploration of Unknown Environments with Teams of Mobile Robots
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
Distributed multi-robot coordination in area exploration
Robotics and Autonomous Systems
Distributed multi-robot coordination in area exploration
Robotics and Autonomous Systems
Multi-robot Exploration Based on Market Approach and Immune Optimizing Strategy
ICAS '07 Proceedings of the Third International Conference on Autonomic and Autonomous Systems
A study of terrain coverage models
Proceedings of the 2008 ACM symposium on Applied computing
Robot path planning using SIFT and sonar sensor fusion
ROCOM'07 Proceedings of the 7th WSEAS International Conference on Robotics, Control & Manufacturing Technology
Mobile robot global localization using just a visual landmark
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Mobile robot localisation with stereo vision
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Fast point features for accurate visual odometry
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
A Novel Strategy for Distributed Multi-robot Coordination in Area Exploration
ICMTMA '09 Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02
Multi-robot exploration of an unknown environment, efficiently reducing the odometry error
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Coordinated multi-robot exploration
IEEE Transactions on Robotics
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In this paper a new exploration algorithm using two cooperating robots is introduced. The new technique is a combination of wall-following exploration algorithm and frontier-based exploration algorithm. Furthermore, robots sweep the line-of-sight between them continuously; if they can see each other then the area between them is assigned as free. The aim is to decrease the exploration time and energy consumption. The proposed algorithm is divided into two stages: Firstly, one of the robots follows (detects) the entire of the environment walls. And secondly, they employ frontier-based algorithm to complete exploring the remained unexplored areas. During these two stages, the robots sweep the line-of-sight between them in each step to maximize the exploration efficiency.