5 citations · 9 across the 6 of their papers we have counts for
5 papers · 1 filter
LIT: Light-field Inference of Transparency for Refractive Object Localization
Zheming Zhou, Xiaotong Chen, Odest Chadwicke Jenkins
Translucency is prevalent in everyday scenes. As such, perception of transparent objects is essential for robots to perform manipulation. Compared with texture-rich or texture-less…
GlassLoc: Plenoptic Grasp Pose Detection in Transparent Clutter
Zheming Zhou, Tianyang Pan, Shiyu Wu +2
Transparent objects are prevalent across many environments of interest for dexterous robotic manipulation. Such transparent material leads to considerable uncertainty for robot per…
Plenoptic Monte Carlo Object Localization for Robot Grasping under Layered Translucency
Zheming Zhou, Zhiqiang Sui, Odest Chadwicke Jenkins
In order to fully function in human environments, robot perception will need to account for the uncertainty caused by translucent materials. Translucency poses several open challen…
Semantic Robot Programming for Goal-Directed Manipulation in Cluttered Scenes
Zhen Zeng, Zheming Zhou, Zhiqiang Sui +1
We present the Semantic Robot Programming (SRP) paradigm as a convergence of robot programming by demonstration and semantic mapping. In SRP, a user can directly program a robot ma…
SUM: Sequential Scene Understanding and Manipulation
Zhiqiang Sui, Zheming Zhou, Zhen Zeng +1
In order to perform autonomous sequential manipulation tasks, perception in cluttered scenes remains a critical challenge for robots. In this paper, we propose a probabilistic appr…