Learning about objects with human teachers
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Foundations and Trends in Robotics
Towards a Spatial Model for Humanoid Social Robots
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Affordance based word-to-meaning association
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Learning Visual Object Categories for Robot Affordance Prediction
International Journal of Robotics Research
A review of log-polar imaging for visual perception in robotics
Robotics and Autonomous Systems
Tracking objects with generic calibrated sensors: An algorithm based on color and 3D shape features
Robotics and Autonomous Systems
Traversability: A Case Study for Learning and Perceiving Affordances in Robots
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Visual object-action recognition: Inferring object affordances from human demonstration
Computer Vision and Image Understanding
Scale invariant feature transform (SIFT) parametric optimization using Taguchi design of experiments
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part I
Developing standards for affordances on embedded devices: poster abstract
Proceedings of the 2011 iConference
Learning visual representations for perception-action systems
International Journal of Robotics Research
Goal emulation and planning in perceptual space using learned affordances
Robotics and Autonomous Systems
A perceptual memory system for affordance learning in humanoid robots
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
BADGr-A toolbox for box-based approximation, decomposition and GRasping
Robotics and Autonomous Systems
Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions
Robotics and Autonomous Systems
Image segmentation for robots: fast self-adapting gaussian mixture model
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Homogeneity analysis for object-action relation reasoning in kitchen scenarios
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication
The learning of adjectives and nouns from affordance and appearance features
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Synergy-based affordance learning for robotic grasping
Robotics and Autonomous Systems
Detecting, segmenting and tracking unknown objects using multi-label MRF inference
Computer Vision and Image Understanding
Incremental object learning and robust tracking of multiple objects from RGB-D point set data
Journal of Visual Communication and Image Representation
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Affordances encode relationships between actions, objects, and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the problem of learning affordances through the interaction of a robot with the environment, a key step to understand the world properties and develop social skills. We present a general model for learning object affordances using Bayesian networks integrated within a general developmental architecture for social robots. Since learning is based on a probabilistic model, the approach is able to deal with uncertainty, redundancy, and irrelevant information. We demonstrate successful learning in the real world by having an humanoid robot interacting with objects. We illustrate the benefits of the acquired knowledge in imitation games.