Kwe et al., 2024
| Publication | Publication Date | Title |
|---|---|---|
| Qin et al. | Review of autonomous path planning algorithms for mobile robots | |
| Schranz et al. | Swarm robotic behaviors and current applications | |
| Lyu et al. | Unmanned aerial vehicles for search and rescue: A survey | |
| Kurunathan et al. | Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey | |
| Duan et al. | From animal collective behaviors to swarm robotic cooperation | |
| Xu | Recent advances in Rapidly-exploring random tree: A review | |
| Ni et al. | Bioinspired intelligent algorithm and its applications for mobile robot control: a survey | |
| Tan et al. | Research advance in swarm robotics | |
| Munasinghe et al. | A comprehensive review of uav-ugv collaboration: Advancements and challenges | |
| Fan et al. | Crowdmove: Autonomous mapless navigation in crowded scenarios | |
| Gangadharan et al. | Ant colony optimization and firefly algorithms for robotic motion planning in dynamic environments | |
| Kwe et al. | Emerging trends in mobile robots | |
| Ghambari et al. | UAV path planning techniques: A survey | |
| Mannan et al. | Classical versus reinforcement learning algorithms for unmanned aerial vehicle network communication and coverage path planning: A systematic literature review | |
| Alqudsi et al. | Swarm robotics for autonomous aerial robots: Features, algorithms, control techniques, and challenges | |
| Elfatih et al. | Navigation and Trajectory Planning Techniques for Unmanned Aerial Vehicles Swarm | |
| Li et al. | A UAV coverage path planning algorithm based on double deep q-network | |
| Suryanarayana | AI applications of drones | |
| Mansfield et al. | A survey on autonomous environmental monitoring approaches: towards unifying active sensing and reinforcement learning | |
| Foster et al. | Multi-Robot Coverage Path Planning for the Inspection of Offshore Wind Farms: A Review | |
| Thangamani et al. | Drones and autonomous robotics incorporating computational intelligence | |
| Sellers et al. | Deep learning-based heterogeneous system for autonomous navigation | |
| Ali et al. | State-of-the-art flocking strategies for the collective motion of multi-robots | |
| Zhao et al. | Research Status and Development Trends of Deep Reinforcement Learning in the Intelligent Transformation of Agricultural Machinery | |
| CN118603105B (en) | A method, device and medium for navigation of air-ground heterogeneous robots |