
Optimal Design of Phase Change Material Driven Continuous Robot in Complex Environment Detection
- 1 School of Mechanical and Electrical Engineering, Xi’an Polytechnic University, Xi’an, Shaanxi, China, 710600
* Author to whom correspondence should be addressed.
Abstract
With the rapid development of science and technology, the demand for environmental detection technology in various industries is increasing day by day. In the fields of disaster relief, resource exploration and urban infrastructure maintenance, traditional rigid robots are difficult to meet the needs of exploration in complex environments due to the limitations of structural and environmental adaptability. The flexible structure of a continuous robot can better adapt to complex environments, and the appearance of phase change materials provides a new way to optimize its performance. The reversible stiffness adjustment of PCM through temperature change meets the demand of society for efficient and intelligent detection tools. This paper focuses on the continuous robot driven by phase change materials, describes its application status and the stiffness adjustment method of phase change materials, proposes a robot scheme based on modular design, and analyzes its application principle in complex environments. The research shows that the modular design makes the robot have good adaptability and reconfiguration ability in the complex environment, and the modules work together to adjust the structure and function quickly. The stiffness adjustment driven by phase change materials significantly improves the robot's adaptability to the environment.
Keywords
Phase change materials, Continuous robots, Complex environmental detection
[1]. Zhu Renjie, Liu Xiangfeng. Application of dynamic building skin driven by phase change materials [J]. Building Energy Conservation, 2020(5):8.
[2]. Nie Zhihua, Wang Yandong, Liu Dongmei. Research progress of magnetically driven phase change materials [J]. Materials Advances in China, 2012, 31(3):12.
[3]. Xu Bin, Lou Baiyang, Ma Qiongtong, et al. Preparation and thermophysical properties of nano-copper/paraffin driven composites [J]. Chinese Journal of Composites, 2013(2):8...
[4]. Yu Xinghai, Tang Haiwei, Li Yanan, Han Yuqi, Min Xuemei. Preparation and properties of biochar/stearic acid composite phase change materials driven by light and electricity [J]. Chemical Industry Progress, 2022, 41(11):5936-5945.
[5]. Chen Yanjiang. Research on Multi-robot active cooperative detection technology based on SLAM [D]. China Academy of Launch Vehicle Technology,2021.
[6]. TANG Jianping. Path Planning of Mobile Robot in Complex Environment [D]. Zhengzhou University,2012.
[7]. Zhang Zhi, Zou Shengtao, Dong Ran, et al. Research on Complex Environment Modeling and Obstacle Avoidance Planning of Robot [J]. Journal of Harbin Engineering University, 2016.
[8]. Xiao Le, Yin Chenbo, Xie Conghua. Research on Walking of humanoid robot in Complex Environment [J]. Computer Simulation, 2015, 32(4):5. (in Chinese)
[9]. Yang Dahu. Visual Servo control of magnetically controlled miniature swimming robot in complex environment [D]. Tianjin University of Technology,2023.
[10]. Li Shaoqi, Kang Xuejing, Zheng Longwu, et al. Design and Application of tracked snakelike Robot in Complex Environment [J]. China New Technology and New Products, 2024(002):000.
[11]. Yin Jianjun, Dong Wenlong, Liang Lihua, et al. Path planning optimization method for Agricultural Robots in Complex Environments [J]. Transactions of the Chinese Society for Agricultural Machinery, 2019, 050(005):17-22.
[12]. Wang W, Li H, Yu H, et al.SLAM Algorithm for Mobile Robots Based on Improved LVI-SAM in Complex Environments[J]. Sensors, 2024,24(22):7214-7214.
[13]. Wang D, Yang K,Gao X, et al.Decision optimisation of a mobile robot in a complex environment based on memory sequence replay mechanism[J]. International Journal of Automation and Control,2023,17(5):461-486.
[14]. U.S. Army Research Laboratory; Miniature antenna enables robotic teaming in complex environments[J]. NewsRx Health & Science,2020,400-.
[15]. Robotics - Androids; Studies from Department of Mechanical Engineering Have Provided New Information about Robotics - Androids (Intelligent Navigation of Humanoids in Cluttered Environments Using Regression Analysis and Genetic Algorithm) [J]. Journal of Robotics & Machine Learning,2018,280-.
Cite this article
Feng,L. (2025). Optimal Design of Phase Change Material Driven Continuous Robot in Complex Environment Detection. Applied and Computational Engineering,149,27-34.
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