On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
Elie Aljalbout*, Felix Frank*, Maximilian Karl, Patrick van der SmagtRA-L, 2024
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Publications
RA-L, 2024
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The Shortcomings of Force-from-Motion in Robot Learning
Elie Aljalbout, Felix Frank, Patrick van der Smagt, Alexandros ParaschosICRA, 2024
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CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
Elie Aljalbout, Maximilian Karl, Patrick van der SmagtL4DC, 2023
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Learning to Centralize Dual-Arm Assembly
Marvin Alles, Elie AljalboutFrontiers in Robotics and AI, 2022
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Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
Elie Aljalbout, Maximilian Ulmer, Rudolph TriebelICRA, 2022
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Learning robotic manipulation skills using an adaptive force-impedance action space
Maximilian Ulmer, Elie Aljalbout, Sascha Schwarz, Sami HaddadinarXiv, 2021
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Learning Vision-based Reactive Policies for Obstacle Avoidance
Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer and Sami HaddadinCoRL, 2020
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How to Make Deep RL Work in Practice
Nirnai Rao*, Elie Aljalbout*, Axel Sauer*, Sami Haddadin (*Shared first authorship)NeurIPS, Workshop on Deep RL, 2020
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Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach
Elie Aljalbout, Florian Walter, Florian Roehrbein, and Alois KnollNeural Processing Letters, Springer, 2020
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Tracking Holistic Object Representations
Axel Sauer*, Elie Aljalbout*, Sami Haddadin (*Shared first authorship)BMVC (oral, acceptance rate: 4%), **Best Science Paper Award**, 2019
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Associative deep clustering: Training a classification network with no labels
Philip Haeusser, Johannes Plapp, Vladimir Golkov, Elie Aljalbout, and Daniel CremersGCPR, 2018
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Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui, Maximilian Strobel, and Daniel CremersarXiv, 2018
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