26 citations · 32 across the 24 of their papers we have counts for
15 papers · 1 filter
Efficient Construction of Implicit Surface Models From a Single Image for Motion Generation
Wei-Teng Chu, Tianyi Zhang, Matthew Johnson-Roberson +1
Implicit representations have been widely applied in robotics for obstacle avoidance and path planning. In this paper, we explore the problem of constructing an implicit distance r…
Bi-Manual Joint Camera Calibration and Scene Representation
Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson +1
Robot manipulation, especially bimanual manipulation, often requires setting up multiple cameras on multiple robot manipulators. Before robot manipulators can generate motion or ev…
From Single Images to Motion Policies via Video-Generation Environment Representations
Weiming Zhi, Ziyong Ma, Tianyi Zhang +1
Autonomous robots typically need to construct representations of their surroundings and adapt their motions to the geometry of their environment. Here, we tackle the problem of con…
GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction
Haozhan Tang, Tianyi Zhang, Oliver Kroemer +2
Robots operating in unstructured environments often require accurate and consistent object-level representations. This typically requires segmenting individual objects from the rob…
SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting
Xinyi Liu, Tianyi Zhang, Matthew Johnson-Roberson +1
Many recent developments for robots to represent environments have focused on photorealistic reconstructions. This paper particularly focuses on generating sequences of images from…
PhotoReg: Photometrically Registering 3D Gaussian Splatting Models
Ziwen Yuan, Tianyi Zhang, Matthew Johnson-Roberson +1
Building accurate representations of the environment is critical for intelligent robots to make decisions during deployment. Advances in photorealistic environment models have enab…