Towards Affordance-Based Robot Control International Seminar, Dagstuhl Castle, Germany, June 5-9, 2006. Revised Papers / [electronic resource] :
edited by Erich Rome, Joachim Hertzberg, Georg Dorffner.
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
- IX, 214 p. online resource.
- Lecture Notes in Computer Science, 4760 0302-9743 ; .
- Lecture Notes in Computer Science, 4760 .
Interpersonal Maps: How to Map Affordances for Interaction Behaviour -- Does It Help a Robot Navigate to Call Navigability an Affordance? -- Learning Causality and Intentional Actions -- GrAM: Reasoning with Grounded Action Models by Combining Knowledge Representation and Data Mining -- Affordance-Based Human-Robot Interaction -- Reinforcement Learning of Predictive Features in Affordance Perception -- A Functional Model for Affordance-Based Agents -- Affordances in an Ecology of Physically Embedded Intelligent Systems -- Use of Affordances in Geospatial Ontologies -- Learning the Affordances of Tools Using a Behavior-Grounded Approach -- Function-Based Reasoning for Goal-Oriented Image Segmentation -- The MACS Project: An Approach to Affordance-Inspired Robot Control.
9783540779155
10.1007/978-3-540-77915-5 doi
Computer science.
Artificial intelligence.
Computer vision.
Optical pattern recognition.
Computer Science.
Artificial Intelligence (incl. Robotics).
Image Processing and Computer Vision.
Pattern Recognition.
Q334-342 TJ210.2-211.495
006.3
Interpersonal Maps: How to Map Affordances for Interaction Behaviour -- Does It Help a Robot Navigate to Call Navigability an Affordance? -- Learning Causality and Intentional Actions -- GrAM: Reasoning with Grounded Action Models by Combining Knowledge Representation and Data Mining -- Affordance-Based Human-Robot Interaction -- Reinforcement Learning of Predictive Features in Affordance Perception -- A Functional Model for Affordance-Based Agents -- Affordances in an Ecology of Physically Embedded Intelligent Systems -- Use of Affordances in Geospatial Ontologies -- Learning the Affordances of Tools Using a Behavior-Grounded Approach -- Function-Based Reasoning for Goal-Oriented Image Segmentation -- The MACS Project: An Approach to Affordance-Inspired Robot Control.
9783540779155
10.1007/978-3-540-77915-5 doi
Computer science.
Artificial intelligence.
Computer vision.
Optical pattern recognition.
Computer Science.
Artificial Intelligence (incl. Robotics).
Image Processing and Computer Vision.
Pattern Recognition.
Q334-342 TJ210.2-211.495
006.3