Article
Open Access
Identifying relevant feature-action associations for grasping unmodelled objects
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Mikkel Tang Thomsen
Published/Copyright:
March 30, 2015
Received: 2014-7-15
Accepted: 2015-1-4
Published Online: 2015-3-30
© 2015 Mikkel Tang Thomsen et al.
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Creative Commons
BY-NC-ND 3.0
Articles in the same Issue
- Special Issue on Benchmarking Motion Primitives
- Open-source benchmarking for learned reaching motion generation in robotics
- Topical Issues on Assistive Robotics
- Talking About Task Progress: Towards Integrating Task Planning and Dialog for Assistive Robotic Services
- Accessible Human-Robot Interaction for Telepresence Robots: A Case Study
- Soft Biometrics for a Socially Assistive Robotic Platform
- The Interactive Urban Robot: User-centered development and final field trial of a direction requesting robot
- Identifying relevant feature-action associations for grasping unmodelled objects
- Towards the synthetic self: making others perceive me as an other
- On the Integration of Adaptive and Interactive Robotic Smart Spaces
- Mobile Robots and Autonomic Ambient Assisted Living
- Topical Issue on Neuronal Dynamics for Cognitive Robotics
- The dynamics of neural activation variables
- Parsing of action sequences: A neural dynamics approach
- Learning the Condition of Satisfaction of an Elementary Behavior in Dynamic Field Theory
- Feasibility Study of Textureless Object Detection and Pose Estimation Based on a Model with 3D Edgels and Surfaces