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Found 5 papers, 1 papers with code
GeoDiffuser: Geometry-Based Image Editing with Diffusion Models
We present GeoDiffuser, a zero-shot optimization-based method that unifies common 2D and 3D image-based object editing capabilities into a single method.
Learning a Group-Aware Policy for Robot Navigation
Human-aware robot navigation promises a range of applications in which mobile robots bring versatile assistance to people in common human environments.
Visual Robot Task Planning
In this work, we propose a neural network architecture and associated planning algorithm that (1) learns a representation of the world useful for generating prospective futures after the application of high-level actions, (2) uses this generative model to simulate the result of sequences of high-level actions in a variety of environments, and (3) uses this same representation to evaluate these actions and perform tree search to find a sequence of high-level actions in a new environment.
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation
In these situations, the robot's ability to reason about its future motion is often severely limited by sensor field of view (FOV).
Learning to Imagine Manipulation Goals for Robot Task Planning
Ideally, we would combine the ability of machine learning to leverage big data for learning the semantics of a task, while using techniques from task planning to reliably generalize to new environment.
