7 citations · 13 across the 3 of their papers we have counts for
4 papers
Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space
Maximilian Ulmer, Elie Aljalbout, Sascha Schwarz +1
Intelligent agents must be able to think fast and slow to perform elaborate manipulation tasks. Reinforcement Learning (RL) has led to many promising results on a range of challeng…
How to Make Deep RL Work in Practice
Nirnai Rao, Elie Aljalbout, Axel Sauer +1
In recent years, challenging control problems became solvable with deep reinforcement learning (RL). To be able to use RL for large-scale real-world applications, a certain degree…
Learning Vision-based Reactive Policies for Obstacle Avoidance
Elie Aljalbout, Ji Chen, Konstantin Ritt +2
In this paper, we address the problem of vision-based obstacle avoidance for robotic manipulators. This topic poses challenges for both perception and motion generation. While most…
Tracking Holistic Object Representations
Axel Sauer, Elie Aljalbout, Sami Haddadin
Recent advances in visual tracking are based on siamese feature extractors and template matching. For this category of trackers, latest research focuses on better feature embedding…