Adaptive Control Strategy for Robot Motion Planning in Complex Environments

Abstract

Adaptive control strategies play a crucial role in robot motion planning in complex environments, enabling robots to dynamically adjust their behavior based on environmental changes and task requirements. This article reviews various adaptive control methods and their applications in robot motion planning. These methods improve the autonomy, robustness, and safety of robots through real-time perception of the environment and optimization of path planning. This article aims to review the application of adaptive control strategies in robot motion planning in complex environments, explore the collaborative work of various methods and technologies to achieve efficient and reliable robot motion planning, and provide useful references and guidance for the future development of robot technology through the research in this article.