Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
800
Learning Affordance Maps by Observing Interactions
"... We address the problem of predicting affordances for dense 3D geometry scans of real-world scenes. Using an RGBD camera setup we observe people interacting with ob-jects and learn the correlation between body part positions and interacted geometry. We encode this information as af-fordance maps over ..."
Abstract
- Add to MetaCart
We address the problem of predicting affordances for dense 3D geometry scans of real-world scenes. Using an RGBD camera setup we observe people interacting with ob-jects and learn the correlation between body part positions and interacted geometry. We encode this information as af-fordance maps
Learning Flexible Sprites in Video Layers
- In CVPR
, 2001
"... We propose a technique for automatically learning layers of "flexible sprites" -- probabilistic 2-dimensional appearance maps and masks of moving, occluding objects. The model explains each input image as a layered composition of exible sprites. A variational expectation maximization algor ..."
Abstract
-
Cited by 158 (20 self)
- Add to MetaCart
We propose a technique for automatically learning layers of "flexible sprites" -- probabilistic 2-dimensional appearance maps and masks of moving, occluding objects. The model explains each input image as a layered composition of exible sprites. A variational expectation maximization
On the move!
, 2011
"... This Innovative Learning Environments case study has been prepared specifically for the OECD project and is circulated as background information for the Banff Conference. “On the Move! ” is an initiative to take secondary school students (age 13 to 19) and teachers out of the class-rooms to study an ..."
Abstract
- Add to MetaCart
This Innovative Learning Environments case study has been prepared specifically for the OECD project and is circulated as background information for the Banff Conference. “On the Move! ” is an initiative to take secondary school students (age 13 to 19) and teachers out of the class-rooms to study
Navigation with Learned Spatial Affordances
"... This paper describes how a cognitive architecture builds a spatial model and navigates from it without a map. Each con-structed model is a collage of spatial affordances that de-scribes how the environment has been sensed and traversed. The system exploits the evolving model while it directs an agen ..."
Abstract
- Add to MetaCart
This paper describes how a cognitive architecture builds a spatial model and navigates from it without a map. Each con-structed model is a collage of spatial affordances that de-scribes how the environment has been sensed and traversed. The system exploits the evolving model while it directs
Learning human activities and object affordances from rgb-d videos. IJRR
, 2013
"... such as making cereal and arranging objects in a room (see Fig. 9). For example, the making cereal activity consists of around 12 sub-activities on average, which includes reaching the pitcher, moving the pitcher to the bowl, and then pouring the milk into the bowl. This proves to be a very challeng ..."
Abstract
-
Cited by 59 (16 self)
- Add to MetaCart
such as making cereal and arranging objects in a room (see Fig. 9). For example, the making cereal activity consists of around 12 sub-activities on average, which includes reaching the pitcher, moving the pitcher to the bowl, and then pouring the milk into the bowl. This proves to be a very
Affordance Prediction via Learned Object Attributes
"... Abstract — We present a novel method for learning and predicting the affordances of an object based on its physical and visual attributes. Affordance prediction is a key task in autonomous robot learning, as it allows a robot to reason about the actions it can perform in order to accomplish its goal ..."
Abstract
-
Cited by 15 (3 self)
- Add to MetaCart
goals. Previous approaches to affordance prediction have either learned direct mappings from visual features to affordances, or have introduced object categories as an intermediate representation. In this paper, we argue that physical and visual attributes provide a more appropriate mid
COMBINING LEARNING AFFORDANCES IN CROSS PLATFORM LEARNING ENVIRONMENTS
"... Until relatively recently, the key technological device involved in computer-based and elearning was assumed be a desktop PC, probably connected to the Internet. However, a plethora of new domestic and personal technologies now offers the educational technologist a wide range of platforms with which ..."
Abstract
- Add to MetaCart
with which to engage the learner. Mobile devices and digital television are becoming increasingly established as plausible learning platforms, and soon no doubt will be joined by ambient, wearable and other technologies (Sharples, 2000; Atwere & Bates, 2003; Naismith et al, 2005). Therefore a new
Learning Objects and Grasp Affordances through Autonomous Exploration
"... Abstract. We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and moving 3D scene features, and creates probabilistic visual representations for object detection, recognition and pose esti ..."
Abstract
-
Cited by 7 (3 self)
- Add to MetaCart
Abstract. We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and moving 3D scene features, and creates probabilistic visual representations for object detection, recognition and pose
Imitation and affordance learning by pigeons (Columba livia
- Journal of Comparative Psychology
, 2003
"... The bidirectional control procedure was used to determine whether pigeons (Columba livia) would imitate a demonstrator that pushed a sliding screen for food. One group of observers saw a trained demonstrator push a sliding screen door with its beak (imitation group), whereas 2 other groups watched ..."
Abstract
-
Cited by 6 (1 self)
- Add to MetaCart
the screen move independently (possibly learning how the environment works) with a conspecific either present (affordance learning with social facilitation) or absent (affordance learning alone). A 4th group could not see the screen being pushed (sound and odor control). Imitation was evidenced
Learning Grasp Affordances Through Human Demonstration
"... Abstract — When presented with an object to be manipulated, a robot must consider the set of actions available for interaction. How might an agent acquire this mapping from object representation to action? In this paper, we describe an approach that learns a mapping from objects to grasps from human ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
Abstract — When presented with an object to be manipulated, a robot must consider the set of actions available for interaction. How might an agent acquire this mapping from object representation to action? In this paper, we describe an approach that learns a mapping from objects to grasps from
Results 1 - 10
of
800
