101 citations · 269 across the 23 of their papers we have counts for
25 papers
Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers
Luca Lach, Séverin Lemaignan, Francesco Ferro +2
We present a holistic grasping controller, combining free-space position control and in-contact force-control for reliable grasping given uncertain object pose estimates. Employing…
Shape complexity estimation using VAE
Markus Rothgaenger, Andrew Melnik, Helge Ritter
In this paper, we compare methods for estimating the complexity of two-dimensional shapes and introduce a method that exploits reconstruction loss of Variational Autoencoders with…
Stroke-based Rendering: From Heuristics to Deep Learning
Florian Nolte, Andrew Melnik, Helge Ritter
In the last few years, artistic image-making with deep learning models has gained a considerable amount of traction. A large number of these models operate directly in the pixel sp…
Face Generation and Editing with StyleGAN: A Survey
Andrew Melnik, Maksim Miasayedzenkau, Dzianis Makarovets +6
Our goal with this survey is to provide an overview of the state of the art deep learning methods for face generation and editing using StyleGAN. The survey covers the evolution of…
Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing
Luca Lach, Niklas Funk, Robert Haschke +4
This work deals with a practical everyday problem: stable object placement on flat surfaces starting from unknown initial poses. Common object-placing approaches require either com…
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space
Shivansh Beohar, Fabian Heinrich, Rahul Kala +2
Learn-to-Race Autonomous Racing Virtual Challenge hosted on www<dot>aicrowd<dot>com platform consisted of two tracks: Single and Multi Camera. Our UniTeam team was among the final…