397 citations · 1k across the 44 of their papers we have counts for
5 papers · 1 filter
Learning Orbitally Stable Systems for Diagrammatically Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
Diagrammatic Teaching is a paradigm for robots to acquire novel skills, whereby the user provides 2D sketches over images of the scene to shape the robot's motion. In this work, we…
Reasoning about the Unseen for Efficient Outdoor Object Navigation
Quanting Xie, Tianyi Zhang, Kedi Xu +2
Robots should exist anywhere humans do: indoors, outdoors, and even unmapped environments. In contrast, the focus of recent advancements in Object Goal Navigation(OGN) has targeted…
Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
Learning for Demonstration (LfD) enables robots to acquire new skills by imitating expert demonstrations, allowing users to communicate their instructions in an intuitive manner. R…
Hyperspherical Embedding for Point Cloud Completion
Junming Zhang, Haomeng Zhang, Ram Vasudevan +1
Most real-world 3D measurements from depth sensors are incomplete, and to address this issue the point cloud completion task aims to predict the complete shapes of objects from par…
Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery
Tianyi Zhang, Matthew Johnson-Roberson
Underwater imagery often exhibits distorted coloration as a result of light-water interactions, which complicates the study of benthic environments in marine biology and geography.…