A tactile sensing strategy for model-based object recognition
An outstanding problem in model-based recognition of objects by robot systems is how the system should proceed when the acquired data are insufficient to identify the model instance and model pose that best interpret the object. Such a situation can arise when there are multiple model instances that...
Main Author: | Ellis, Randy Evan |
---|---|
Language: | ENG |
Published: |
ScholarWorks@UMass Amherst
1987
|
Subjects: | |
Online Access: | https://scholarworks.umass.edu/dissertations/AAI8805914 |
Similar Items
-
Local search algorithms for geometric object recognition: Optimal correspondence and pose
by: Beveridge, J. Ross
Published: (1993) -
Object Detection and Recognition in Natural Settings
by: Dittmar, George William
Published: (2013) -
Stable and Semantic Robotic Grasping Using Tactile Feedback
by: Dang, Hao
Published: (2013) -
Improved learning strategies for small vocabulary automatic speech recognition
by: Cardin, Régis
Published: (1993) -
Object Part Localization Using Exemplar-based Models
by: Liu, Jiongxin
Published: (2017)