Adaptive Control Strategy for Robot Motion Planning in Complex Environments

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.

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Publication Details

Journal
Scientific journal of intelligent systems research.
Published
2024-11-13
DOI
https://doi.org/10.54691/vmea5p42
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.50
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article

Adaptive Control Strategy for Robot Motion Planning in Complex Environments

Mengchao Wang
2 citations
Scientific journal of intelligent systems research.
Robotic Path Planning Algorithms
0.50
article

Adaptive Control Strategy for Robot Motion Planning in Complex Environments

Mengchao Wang
article en
2 citations

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.

Scientific journal of intelligent systems research.Vol. 6(10)
Guangdong Ocean University (CN)
Sustainable cities and communities
Openalex Percentile: Top 33%
Robotic Path Planning Algorithms
0.50
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Adaptive Control Strategy for Robot Motion Planning in Complex Environments — Mengchao Wang · Scientific journal of intelligent systems research. (2024) | TGRS Research Map | TGRS