Recent developments in terrain identification, classification, parameter estimation for the navigation of autonomous robots
| Autor: | Rahul Antony, B Vinayakumar, Youhan Sunny, M. G. Harinarayanan Nampoothiri |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Rescue robot
0209 industrial biotechnology business.industry Computer science Estimation theory General Chemical Engineering Deep learning General Engineering General Physics and Astronomy Terrain 02 engineering and technology 021001 nanoscience & nanotechnology Field (computer science) Bridge (nautical) Identification (information) 020901 industrial engineering & automation Systems engineering General Earth and Planetary Sciences Robot General Materials Science Artificial intelligence 0210 nano-technology business General Environmental Science |
| Zdroj: | SN Applied Sciences. 3 |
| ISSN: | 2523-3971 2523-3963 |
| DOI: | 10.1007/s42452-021-04453-3 |
| Popis: | The work presents a review on ongoing researches in terrain-related challenges influencing the navigation of Autonomous Robots, specifically Unmanned Ground ones. The paper aims to highlight the recent developments in robot design and advanced computing techniques in terrain identification, classification, parameter estimation, and developing modern control strategies. The objective of our research is to familiarize the gaps and opportunities of the aforementioned areas to the researchers who are passionate to take up research in the field of autonomous robots. The paper brings recent works related to terrain strategies under a single platform focusing on the advancements in planetary rovers, rescue robots, military robots, agricultural robots, etc. Finally, this paper provides a comprehensive analysis of the related works which can bridge the AI techniques and advanced control strategies to improve navigation. The study focuses on various Deep Learning techniques and Fuzzy Logic Systems in detail. The work can be extended to develop new control schemes to improve multiple terrain navigation performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink