Journal
JOURNAL OF FIELD ROBOTICS
Volume 35, Issue 4, Pages 564-577Publisher
WILEY
DOI: 10.1002/rob.21761
Keywords
IMU; LATUV rover; Lunar Roving Vehicle; machine learning; Mars rovers; visual odometry
Categories
Funding
- NASA [NNX15CA25C]
Ask authors/readers for more resources
Future lunar/planetary exploration missions will demand mobile robots with the capability of reaching more challenging science targets and driving farther per day than the current Mars rovers. Among other improvements, reliable slippage estimation and compensation strategies will play a key role in enabling a safer and more efficient navigation. This paper reviews and discusses this body of research in the context of planetary exploration rovers. Previously published state-of-the-art methods that have been validated through field testing are included as exemplary results. Limitations of the current techniques and recommendations for future developments and planetary missions close the survey.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available