Sökning: "object representation"
Visar resultat 1 - 5 av 161 avhandlingar innehållade orden object representation.
1. Studies in knowledge representation : modeling change - the frame problem : pictures and words
Sammanfattning : In two studies, the author attempts to develop a general symbol theoretical approach to knowledge representation.The first study, Modeling change -the frame problem, critically examines the - so far unsuccessful - attempts to solve the notorious frame problem. LÄS MER
2. Safe Robotic Manipulation to Extract Objects from Piles : From 3D Perception to Object Selection
Sammanfattning : This thesis is concerned with the task of autonomous selection of objects to remove (unload) them from a pile in robotic manipulation systems. Applications such as the automation of logistics processes and service robots require an ability to autonomously manipulate objects in the environment. LÄS MER
3. Dexterous Grasping : Representation and Optimization
Sammanfattning : Many robot object interactions require that an object is firmly held, and that the grasp remains stable during the whole manipulation process. Based on grasp wrench space, this thesis address the problems of measuring the grasp sensitivity against friction changes, planning contacts and hand configurations on mesh and point cloud representations of arbitrary objects, planning adaptable grasps and finger gaiting for keeping a grasp stable under various external disturbances, as well as learning of grasping manifolds for more accurate reachability and inverse kinematics computation for multifingered grasping. LÄS MER
4. Learning Structured Representations for Rigid and Deformable Object Manipulation
Sammanfattning : The performance of learning based algorithms largely depends on the given representation of data. Therefore the questions arise, i) how to obtain useful representations, ii) how to evaluate representations, and iii) how to leverage these representations in a real-world robotic setting. LÄS MER
5. Visual Representations and Models: From Latent SVM to Deep Learning
Sammanfattning : Two important components of a visual recognition system are representation and model. Both involves the selection and learning of the features that are indicative for recognition and discarding those features that are uninformative. LÄS MER