Difference between revisions of "Object Recognition for Robot Hand Manipulation"
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== Project Outline == | == Project Outline == | ||
| − | * Research Period: 2018.04 ~ | + | * Research Period: 2018.04 ~ 2019.12 (21 months) |
* Funded by Ministry of Science and ICT | * Funded by Ministry of Science and ICT | ||
== Introduction and Research Targets == | == Introduction and Research Targets == | ||
| + | * We are developing robot hand manipulation intelligence to learn methods and procedures for handling various objects with tactile robot hands. | ||
| + | * We are focusing on object recognition and grasp synthesis technologies for robot hand manipulation based on object affordance. | ||
::[[File:rhm_ov.png|800px]] | ::[[File:rhm_ov.png|800px]] | ||
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* Object detection | * Object detection | ||
* Object affordance detection with supervised learning | * Object affordance detection with supervised learning | ||
| − | * Grasp synthesis | + | * 3D Grasp synthesis |
| + | * Physical state recognition of objects | ||
| + | * Task segment classification and task recognition | ||
Latest revision as of 16:24, 4 January 2021
Project Outline
- Research Period: 2018.04 ~ 2019.12 (21 months)
- Funded by Ministry of Science and ICT
Introduction and Research Targets
- We are developing robot hand manipulation intelligence to learn methods and procedures for handling various objects with tactile robot hands.
- We are focusing on object recognition and grasp synthesis technologies for robot hand manipulation based on object affordance.
Developing Core Technologies
- Object detection
- Object affordance detection with supervised learning
- 3D Grasp synthesis
- Physical state recognition of objects
- Task segment classification and task recognition
