Recent Advances in Robot Trajectory Planning in a Dynamic Environment

Title:Recent Advances in Robot Trajectory Planning in a Dynamic Environment

Volume: 15 Issue: 9

Author(s): Hongxin Zhang*, Rongzijun Shu and Guangsen Li

Affiliation:

• School of Mechanical Power and Engineering, Harbin University of Science and Technology, Harbin, China

Keywords: Dynamic environment, general algorithm, intelligent algorithm, trajectory optimization, trajectory planning, robot.

Abstract:

Background: Trajectory planning is important to research in robotics. As the application environment changes rapidly, robot trajectory planning in a static environment can no longer meet actual needs. Therefore, a lot of research has turned to robot trajectory planning in a dynamic environment.

Objective: This paper aims at providing references for researchers from related fields by reviewing recent advances in robot trajectory planning in a dynamic environment.

Methods: This paper reviews the latest patents and current representative articles related to robot trajectory planning in a dynamic environment and introduces some key methods of references from the aspects of algorithm, innovation and principle.

Results: In this paper, we classified the researches related to robot trajectory planning in a dynamic environment in the last 10 years, introduced and analyzed the advantages of different algorithms in these patents and articles, and the future developments and potential problems in this field are discussed.

Conclusion: Trajectory planning in a dynamic environment can help robots to accomplish tasks in a complex environment, improving robots’ intelligence, work efficiency and adaptability to the environment. Current research focuses on dynamic obstacle avoidance, parameter optimization, real-time planning, and efficient work, which can be used to solve robot trajectory planning in a dynamic environment. In terms of the combination of multiple algorithms, multisensor information fusion, the combination of local planning and global planning, and multirobot and multi-task collaboration, more improvements and innovations are needed. It should create more patents on robot trajectory planning in a dynamic environment.

Cite this article as:

Zhang Hongxin *, Shu Rongzijun and Li Guangsen , Recent Advances in Robot Trajectory Planning in a Dynamic Environment, Recent Advances in Computer Science and Communications 2022; 15 (9) . https://dx.doi.org/10.2174/2666255814666210929170319