Control and Autonomy of Microrobots: Recent Progress and Perspective. (3rd April 2022)
- Record Type:
- Journal Article
- Title:
- Control and Autonomy of Microrobots: Recent Progress and Perspective. (3rd April 2022)
- Main Title:
- Control and Autonomy of Microrobots: Recent Progress and Perspective
- Authors:
- Jiang, Jialin
Yang, Zhengxin
Ferreira, Antoine
Zhang, Li - Abstract:
- Abstract : After decades of development, microrobots have exhibited great application potential in the biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing. Compared with conventional medical robotic systems, microrobots may be capable of reaching more narrow and vulnerable regions in the human body with minimal damage. However, limited by the small scale of microrobots, microprocessors, power supplies, and sensors can hardly be integrated on‐board. Thus, new strategies for the actuation and feedback for microrobots need to be explored. Furthermore, the open‐loop control method accomplished by operators may lack accuracy, and long‐duration operation could bring a severe physical challenge in many applications. Consequently, the automatic control of microrobots with the aid of control theories is developed to improve the control efficiency and precision. To further promote the automation level of microrobots, machine learning algorithms are expected to provide a solution to let microrobots adapt to more dynamic environments and undertake more complex medical tasks. Herein, a systematic introduction of the manipulation of microrobots from open‐loop to closed‐loop control is given in this review. It is envisioned that microrobots will play an important role in future biomedical applications. Abstract : Microrobots have shown great potential in the biomedical field. To promote the application of microrobots in various scenarios, precise controlAbstract : After decades of development, microrobots have exhibited great application potential in the biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing. Compared with conventional medical robotic systems, microrobots may be capable of reaching more narrow and vulnerable regions in the human body with minimal damage. However, limited by the small scale of microrobots, microprocessors, power supplies, and sensors can hardly be integrated on‐board. Thus, new strategies for the actuation and feedback for microrobots need to be explored. Furthermore, the open‐loop control method accomplished by operators may lack accuracy, and long‐duration operation could bring a severe physical challenge in many applications. Consequently, the automatic control of microrobots with the aid of control theories is developed to improve the control efficiency and precision. To further promote the automation level of microrobots, machine learning algorithms are expected to provide a solution to let microrobots adapt to more dynamic environments and undertake more complex medical tasks. Herein, a systematic introduction of the manipulation of microrobots from open‐loop to closed‐loop control is given in this review. It is envisioned that microrobots will play an important role in future biomedical applications. Abstract : Microrobots have shown great potential in the biomedical field. To promote the application of microrobots in various scenarios, precise control with high autonomy level is necessary. In this review, state‐of‐the‐art research about control and autonomy of microrobots is given to provide a comprehensive introduction of microrobots for readers, and current challenges are summarized for the guidance of future research. … (more)
- Is Part Of:
- Advanced intelligent systems. Volume 4:Number 5(2022)
- Journal:
- Advanced intelligent systems
- Issue:
- Volume 4:Number 5(2022)
- Issue Display:
- Volume 4, Issue 5 (2022)
- Year:
- 2022
- Volume:
- 4
- Issue:
- 5
- Issue Sort Value:
- 2022-0004-0005-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-04-03
- Subjects:
- artificial intelligence -- automatic control -- microrobot -- multi-agent control -- path planning -- reinforcement learning -- swarm control
Artificial intelligence -- Periodicals
Robotics -- Periodicals
Control theory -- Periodicals
006.3 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
https://onlinelibrary.wiley.com/journal/26404567 ↗ - DOI:
- 10.1002/aisy.202100279 ↗
- Languages:
- English
- ISSNs:
- 2640-4567
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21568.xml