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School of Computer Science
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Grasp selection strategies for robot manipulation using a superquadric-based object representation
The roles of allocentric representations in autonomous local navigation
Constructing mobile manipulation behaviors using expert interfaces and autonomous robot learning
Computational video: post-processing methods for stabilization, retargeting and segmentation
Planning in constraint space for multi-body manipulation tasks
Deep Segments: Comparisons between Scenes and their Constituent Fragments using Deep Learning
Trust and reputation for formation and evolution of multi-robot teams
Timing multimodal turn-taking in human-robot cooperative activity
Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion
Learning descriptive models of objects and activities from egocentric video