计算机科学
帧(网络)
路径(计算)
运动规划
人工智能
电信
计算机网络
机器人
作者
Xinyong Luo,Hui Zhang,Xidong Zhou,Lian Yang
标识
DOI:10.1109/rcae59706.2023.10398855
摘要
In the realm of mobile robot path planning, this study integrates local path planning with the Frenét Frame, presenting an adaptive path planning approach. Firstly, the A* algorithm is employed to extract the shortest path from the map. Subsequently, cubic spline interpolation is applied to the path to generate a smooth global reference trajectory. Next, a cost function based on lateral offset distance is introduced to enhance the proximity of the trajectory to the reference trajectory, thereby improving efficiency. Lastly, an adaptive sampling strategy is incorporated to enhance the robot's dynamic obstacle avoidance performance. Experimental results validate the efficacy of the proposed path-planning approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI