We invite contributions in areas relevant in robotics. Both theoretical and applied papers are encouraged. The common theme is online and lifelong learning within robotics, which includes papers spanning one or more of the following threads:
- Unsupervised/weakly supervised online learning techniques
- Bayesian state estimation
- Unsupervised/semi-supervised object discovery
- Evaluation of online/offline methods
- Multiple target tracking with adaptive target models
- Online and adaptive outlier detection
- Lifelong mapping and localization
- Adaptive/online transfer learning and domain adaptation
- Online learning by imitation (grasping, manipulation)
- Planning in continuously changing environments
- Change detection in video/data streams
Submission Procedure
Researchers in the field of mobile robotics are invited to submit contributions to the workshop via easyChair (full-length IEEE style, but not more than 6 pages). There will be a review process and the best papers are selected for poster presentation in the workshop and for publication in the workshop proceedings. All accepted papers will be included in the workshop proceedings.