activity
20182020
most citedWhole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning

19 citations · 19 across the 1 of their papers we have counts for

collaborators

7 papers

cs.CV2020

LCD -- Line Clustering and Description for Place Recognition

Felix Taubner, Florian Tschopp, Tonci Novkovic +2

Current research on visual place recognition mostly focuses on aggregating local visual features of an image into a single vector representation. Therefore, high-level information…

cs.LG2020

Fashion Landmark Detection and Category Classification for Robotics

Thomas Ziegler, Judith Butepage, Michael C. Welle +3

Research on automated, image based identification of clothing categories and fashion landmarks has recently gained significant interest due to its potential impact on areas such as…

cs.RO202019 cited

Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning

Julien Kindle, Fadri Furrer, Tonci Novkovic +3

Mobile manipulation is usually achieved by sequentially executing base and manipulator movements. This simplification, however, leads to a loss in efficiency and in some cases a re…

cs.RO2019

VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite

Florian Tschopp, Michael Riner, Marius Fehr +7

Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization and Mapping (SLAM) with other modalities such as…

cs.RO2019

Object Finding in Cluttered Scenes Using Interactive Perception

Tonci Novkovic, Remi Pautrat, Fadri Furrer +3

Object finding in clutter is a skill that requires perception of the environment and in many cases physical interaction. In robotics, interactive perception defines a set of algori…

cs.RO2018

Incremental Object Database: Building 3D Models from Multiple Partial Observations

Fadri Furrer, Tonci Novkovic, Marius Fehr +5

Collecting 3D object datasets involves a large amount of manual work and is time consuming. Getting complete models of objects either requires a 3D scanner that covers all the surf…