activity
20182022
most citedTable-Top Scene Analysis Using Knowledge-Supervised MCMC

2 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2022★ 1 cited

Constraint-based Task Specification and Trajectory Optimization for Sequential Manipulation

Mun Seng Phoon, Philipp S. Schmitt, Georg v. Wichert

To economically deploy robotic manipulators the programming and execution of robot motions must be swift. To this end, we propose a novel, constraint-based method to intuitively sp…

cs.CV2020

Online Semantic Exploration of Indoor Maps

Ziyuan Liu, Dong Chen, Georg von Wichert

In this paper we propose a method to extract an abstracted floor plan from typical grid maps using Bayesian reasoning. The result of this procedure is a probabilistic generative mo…

cs.CV2020

Applying Rule-Based Context Knowledge to Build Abstract Semantic Maps of Indoor Environments

Ziyuan Liu, Georg von Wichert

In this paper, we propose a generalizable method that systematically combines data driven MCMC samplingand inference using rule-based context knowledge for data abstraction. In par…

cs.CV2020★ 2 cited

Table-Top Scene Analysis Using Knowledge-Supervised MCMC

Ziyuan Liu, Dong Chen, Kai M. Wurm +1

In this paper, we propose a probabilistic method to generate abstract scene graphs for table-top scenes from 6D object pose estimates. We explicitly make use of task-specfic contex…

cs.CV2020★ 1 cited

A Generalizable Knowledge Framework for Semantic Indoor Mapping Based on Markov Logic Networks and Data Driven MCMC

Ziyuan Liu, Georg von Wichert

In this paper, we propose a generalizable knowledge framework for data abstraction, i.e. finding compact abstract model for input data using predefined abstract terms. Based on the…

cs.CV2020

Extracting Semantic Indoor Maps from Occupancy Grids

Ziyuan Liu, Georg von Wichert

The primary challenge for any autonomous system operating in realistic, rather unconstrained scenarios is to manage the complexity and uncertainty of the real world. While it is un…