In the working environment of autonomous mobile robots, the distribution of obstacles has strong randomness, which puts higher requirements on the accuracy and adaptability of robot obstacle avoidance. To this end, an obstacle avoidance method for autonomous mobile robots based on embedded high-precision laser ranging is proposed. Firstly, using embedded high-precision laser ranging technology to collect environmental information and generate a grid map of the robot's moving environment. Then, the global optimal path of the robot is planned using the quadratic A*algorithm, and the optimal path is smoothed using the dynamic tangent method. Finally, during the process of the robot traveling along the global optimal path, the Morphin algorithm is used to plan local obstacle avoidance paths in real-time, achieving autonomous mobile robot obstacle avoidance. The experimental results show that in complex static obstacle environments, the planning of obstacle avoidance paths using this method takes less time, with an average time of only 1.129 seconds; In a dynamic obstacle environment, this method can successfully achieve smoother robot movement and obstacle avoidance. The time it takes for the robot to reach the endpoint is about 1 260 s, indicating that the obstacle avoidance effect of applying this method is more ideal.