Multi‐Agent Control of Laser‐Guided Shape‐Memory Alloy Microrobots
Min‐Soo Kim, Alan C. L. Yu, Daehyeon Kim, Bradley J. Nelson, Sung‐Hoon Ahn
- 发表年份
- 2023
- 引用次数
- 19
- 访问权限
- 开放获取
摘要
Abstract Microrobots have a high demand for multi‐agent control to enhance their effectiveness in performing various tasks. While light is a power source that can control many micro‐structures, the range of controllable objects is limited to polymeric structures, simple particles, or bio‐cells. This study presents a multi‐agent microrobot control platform that utilizes a laser and artificial structures made of a shape‐memory alloy (SMA). The SMA microrobots can travel at speeds of up to 150 µm s −1 (2.5 BL s −1 ) and demonstrate complex path navigation, algorithm‐based control, and vision‐based feedback control. By utilizing the minimum potential energy algorithm, the paths of microrobots are optimized to perform navigation tasks in the shortest routes, bypassing obstacles. Additionally, the vision system calibrates the paths before every laser scanning cycle. Finally, the SMA microrobot platform with algorithm‐based path planning and real‐time feedback allows multi‐agent control, overcoming inconsistent locomotion caused by the uncertainty of complex microenvironments. As SMAs have a high energy density, fast actuation speed, good chemical resistance, and excellent biocompatibility, these SMA microrobots are expected to open up a wide range of potential applications for micro‐robotics in various fields, such as micro‐chemical reactions and biomedical devices.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002