Anees Ul Husnain, Norrima Mokthar, Takao Ito, Siti Sendari, Muhammad Farris Kyasudeen, Muhammad Badri M Noor, Heshalini Rajagopal
The synergistic collaboration between UAVs and UGVs addresses the limitations of individual platforms, offering aversatile solution for reconnaissance tasks in diverse environments. The proposed system employs ROS as the underlying architecture to facilitate seamless communication and coordination among multiple UAVs and UGVs. We delve into the intricacies of developing a robust communication framework that enables real-time data exchange and decision-making, fostering a synchronized and adaptive operation. Furthermore, the article explores strategies for path planning and navigation, considering the unique mobility constraints of UAVs and UGVs. Optimal coverage is ensured through efficient exploration and coverage of the reconnaissance area, under by comparing raster-scan, expanding spiral and zig-zag area exploration approaches. The article concludes by discussing potential extensions, such as the integration of machine learning techniques for enhanced autonomy and the scalability of the system for larger-scale missions by presenting a ROS-based framework that maximizes the synergy between UAVs and UGVs. © The 2024 International Conference on Artificial Life and Robotics.
Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Malaysia; Hiroshima University, Japan; Universitas Negeri Malang, Indonesia; University Technology MARA (UiTM), Malaysia; Universiti Malaya, Malaysia, Ifcon Technology Sdn Bhd, Malaysia; Department of Electrical and Electronics Engineering, MILA University, Negeri Sembilan, Nilai, 71800, Malaysia
