Skip Nav Destination
Close Modal
Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-2 of 2
Keywords: Imitation learning
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
A continual imitation learning benchmark for mobile robot navigation in sequential environments
Available to Purchase
Journal:
Robotic Intelligence and Automation
Robotic Intelligence and Automation (2025) 45 (5-6): 577–585.
Published: 27 November 2025
... is to present continual imitation learning benchmark (CILB), a benchmark for continual imitation learning ( CIL ) in multimodal robot navigation, aimed at enhancing the robot’s capability to navigate in dynamic and sequential settings. Design/methodology/approach CILB comprises a multimodal dataset...
Journal Articles
A syntactic method for robot imitation learning of complex sequence task
Available to Purchase
Journal:
Robotic Intelligence and Automation
Robotic Intelligence and Automation (2023) 43 (2): 132–143.
Published: 02 May 2023
...Yu Du; Jipan Jian; Zhiming Zhu; Dehua Pan; Dong Liu; Xiaojing Tian Purpose Aiming at the problems of weak generalization of robot imitation learning methods and higher accuracy requirements of low-level detectors, this study aims to propose an imitation learning method based on structural grammar...
