Interactive perception: Leveraging action in perception and perception in action
Recent approaches in robot perception follow the insight that perception is facilitated by
interaction with the environment. These approaches are subsumed under the term …
interaction with the environment. These approaches are subsumed under the term …
Learning to singulate objects using a push proposal network
Learning to act in unstructured environments such as cluttered piles of objects poses a
substantial challenge for manipulation robots. We present a novel neural network-based …
substantial challenge for manipulation robots. We present a novel neural network-based …
Perceiving, learning, and exploiting object affordances for autonomous pile manipulation
Autonomous manipulation in unstructured environments will enable a large variety of
exciting and important applications. Despite its promise, autonomous manipulation remains …
exciting and important applications. Despite its promise, autonomous manipulation remains …
Active articulation model estimation through interactive perception
We introduce a particle filter-based approach to representing and actively reducing
uncertainty over articulated motion models. The presented method provides a probabilistic …
uncertainty over articulated motion models. The presented method provides a probabilistic …
Online interactive perception of articulated objects with multi-level recursive estimation based on task-specific priors
To successfully manipulate in unknown environments, a robot must be able to perceive
degrees of freedom of objects in its environment. Based on the resulting kinematic model …
degrees of freedom of objects in its environment. Based on the resulting kinematic model …
Probabilistic segmentation and targeted exploration of objects in cluttered environments
Creating robots that can act autonomously in dynamic unstructured environments requires
dealing with novel objects. Thus, an offline learning phase is not sufficient for recognizing …
dealing with novel objects. Thus, an offline learning phase is not sufficient for recognizing …
Autoscanning for coupled scene reconstruction and proactive object analysis
Detailed scanning of indoor scenes is tedious for humans. We propose autonomous scene
scanning by a robot to relieve humans from such a laborious task. In an autonomous setting …
scanning by a robot to relieve humans from such a laborious task. In an autonomous setting …
Color image segmentation metrics
M Harouni, HY Baghmaleki - Encyclopedia of Image Processing, 2018 - books.google.com
An automatic image segmentation procedure is an inevitable part of many image analyses
and computer vision which deeply affect the rest of the system; therefore, a set of interactive …
and computer vision which deeply affect the rest of the system; therefore, a set of interactive …
Self-supervised transfer learning for instance segmentation through physical interaction
Instance segmentation of unknown objects from images is regarded as relevant for several
robot skills including grasping, tracking and object sorting. Recent results from computer …
robot skills including grasping, tracking and object sorting. Recent results from computer …
Physical interaction for segmentation of unknown textured and non-textured rigid objects
We present an approach for autonomous interactive object segmentation by a humanoid
robot. The visual segmentation of unknown objects in a complex scene is an important …
robot. The visual segmentation of unknown objects in a complex scene is an important …