机器人路径规划算法综述论文推荐 - 全面了解路径规划算法优缺点

以下是一些关于机器人路径规划算法的综述论文的推荐：\n\n1. "A Comprehensive Review of Path Planning Algorithms for Autonomous Unmanned Aerial Vehicles" by Saeed Khazaie and Faisal Qureshi. This paper provides a comprehensive review of path planning algorithms specifically for autonomous unmanned aerial vehicles (UAVs). It covers a wide range of algorithms, including grid-based, potential field, sampling-based, and optimization-based approaches.\n\n2. "A Comprehensive Survey of Path Planning Algorithms for Autonomous Robots" by Karamjit Singh and Navjot Kaur. This paper offers a comprehensive survey of path planning algorithms for autonomous robots, including both single-robot and multi-robot scenarios. It discusses various algorithms such as graph-based, potential field, cellular automata, and evolutionary approaches.\n\n3. "A Survey on Motion Planning and Control Techniques for Robotic Systems" by Chengbin Ma, Xianbo Xiang, and Daqing Zhang. This survey paper provides an overview of motion planning and control techniques for robotic systems. It covers both traditional and modern algorithms, including artificial potential field, rapidly-exploring random tree (RRT), and sampling-based algorithms.\n\n4. "A Comprehensive Survey on Path Planning Techniques for Mobile Robots" by Ali Selamat, Mohd Zamri Murah, and Mohd Syazwan Abdullah. This paper presents a comprehensive survey on path planning techniques for mobile robots, covering both global and local planning algorithms. It discusses various algorithms such as Dijkstra's algorithm, A* algorithm, and genetic algorithms.\n\n5. "A Review on Path Planning Algorithms for Mobile Robots" by S. V. S. Phani Kumar and S. S. R. M. Jyothi. This review paper provides an overview of path planning algorithms for mobile robots, focusing on grid-based, potential field, and evolutionary approaches. It also discusses the challenges and future directions in the field of path planning.\n\n这些论文可以为你提供关于机器人路径规划算法的全面了解，并帮助你了解不同算法的优缺点和适用场景。