A Robust Data-Driven Approach for Online Learning and Manipulation of Unmodeled 3-D Heterogeneous Compliant Objects.
Farshid AlambeigiZerui WangRachel HegemanYun-Hui LiuMehran ArmandPublished in: IEEE Robotics Autom. Lett. (2018)
Keyphrases
- online learning
- partial occlusion
- data driven
- object model
- d objects
- data objects
- adaptive neural
- cluttered background
- robust estimation
- computer mediated
- distance education
- moving objects
- e learning
- machine learning
- artificial neural networks
- feature descriptors
- object recognition
- blended learning
- decision trees
- object models
- multiple types
- database