Elie Aljalbout

40 papers A* 4A 1Misc 2Journal 30Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Actor-Critic Model Predictive Control: Differentiable Optimization Meets Reinforcement Learning for Agile Flight. IEEE Trans. Robotics Angel Romero, Elie Aljalbout, Yunlong Song, Davide Scaramuzza
2026	J	`jnl`	Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments. CoRR Nico Messikommer, Jiaxu Xing, Leonard Bauersfeld, Marco Cannici, Elie Aljalbout, Davide Scaramuzza
2026	J	`jnl`	Learning on the Fly: Rapid Policy Adaptation via Differentiable Simulation. IEEE Robotics Autom. Lett. Jiahe Pan, Jiaxu Xing, Rudolf Reiter, Yifan Zhai, Elie Aljalbout, Davide Scaramuzza
2025	J	`jnl`	Accelerating Model-Based Reinforcement Learning with State-Space World Models. CoRR Maria Krinner, Elie Aljalbout, Angel Romero, Davide Scaramuzza
2025	J	`jnl`	Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight. CoRR Angel Romero, Ashwin Shenai, Ismail Geles, Elie Aljalbout, Davide Scaramuzza
2025	A*	`conf`	GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CVPR Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro M. B. Rezende, Yasaman Haghighi, David Brüggemann, Isinsu Katircioglu, Lin Zhang, Xiaoran Chen, Suman Saha, Marco Cannici, Elie Aljalbout, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi
2025	A*	`conf`	LIMT: Language-Informed Multi-Task Visual World Models. ICRA Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen
2025	J	`jnl`	Learning on the Fly: Rapid Policy Adaptation via Differentiable Simulation. CoRR Jiahe Pan, Jiaxu Xing, Rudolf Reiter, Yifan Zhai, Elie Aljalbout, Davide Scaramuzza
2025	J	`jnl`	Multi-Task Reinforcement Learning for Quadrotors. IEEE Robotics Autom. Lett. Jiaxu Xing, Ismail Geles, Yunlong Song, Elie Aljalbout, Davide Scaramuzza
2025	A*	`conf`	Student-Informed Teacher Training. ICLR Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza
2025	J	`jnl`	The Reality Gap in Robotics: Challenges, Solutions, and Best Practices. CoRR Elie Aljalbout, Jiaxu Xing, Angel Romero, Iretiayo Akinola, Caelan Reed Garrett, Eric Heiden, Abhishek Gupta, Tucker Hermans, Yashraj Narang, Dieter Fox, Davide Scaramuzza, Fabio Ramos
2024	J	`jnl`	GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CoRR Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro M. B. Rezende, Yasaman Haghighi, David Brüggemann, Isinsu Katircioglu, Lin Zhang, Xiaoran Chen, Suman Saha, Marco Cannici, Elie Aljalbout, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi
2024	J	`jnl`	Guided Decoding for Robot Motion Generation and Adaption. CoRR Nutan Chen, Elie Aljalbout, Botond Cseke, Patrick van der Smagt
2024	—	`conf`	Guided Decoding for Robot On-line Motion Generation and Adaption. Humanoids Nutan Chen, Botond Cseke, Elie Aljalbout, Alexandros Paraschos, Marvin Alles, Patrick van der Smagt
2024	J	`jnl`	LIMT: Language-Informed Multi-Task Visual World Models. CoRR Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen
2024	J	`jnl`	Multi-Task Reinforcement Learning for Quadrotors. CoRR Jiaxu Xing, Ismail Geles, Yunlong Song, Elie Aljalbout, Davide Scaramuzza
2024	J	`jnl`	On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. IEEE Robotics Autom. Lett. Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
2024	J	`jnl`	Student-Informed Teacher Training. CoRR Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza
2024	J	`jnl`	The Shortcomings of Force-from-Motion in Robot Learning. CoRR Elie Aljalbout, Felix Frank, Patrick van der Smagt, Alexandros Paraschos
2023	—	`conf`	CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. L4DC Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
2023	J	`jnl`	Editorial: Language, affordance and physics in robot cognition and intelligent systems. Frontiers Robotics AI Nutan Chen, Walterio W. Mayol-Cuevas, Maximilian Karl, Elie Aljalbout, Andy Zeng, Aurelio Cortese, Wolfram Burgard, Herke van Hoof
2023	J	`jnl`	On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. CoRR Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
2022	J	`jnl`	CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. CoRR Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
2022	J	`jnl`	Learning to Centralize Dual-Arm Assembly. Frontiers Robotics AI Marvin Alles, Elie Aljalbout
2022	A*	`conf`	Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning. ICRA Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
2021	Misc	`conf`	Dual-Arm Adversarial Robot Learning. CoRL Elie Aljalbout
2021	J	`jnl`	Dual-Arm Adversarial Robot Learning. CoRR Elie Aljalbout
2021	J	`jnl`	Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space. CoRR Maximilian Ulmer, Elie Aljalbout, Sascha Schwarz, Sami Haddadin
2021	J	`jnl`	Learning to Centralize Dual-Arm Assembly. CoRR Marvin Alles, Elie Aljalbout
2021	J	`jnl`	Making Curiosity Explicit in Vision-based RL. CoRR Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
2021	J	`jnl`	Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning. CoRR Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
2020	J	`jnl`	How to Make Deep RL Work in Practice. CoRR Nirnai Rao, Elie Aljalbout, Axel Sauer, Sami Haddadin
2020	Misc	`conf`	Learning Vision-based Reactive Policies for Obstacle Avoidance. CoRL Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer, Sami Haddadin
2020	J	`jnl`	Learning Vision-based Reactive Policies for Obstacle Avoidance. CoRR Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer, Sami Haddadin
2020	J	`jnl`	Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach. CoRR Elie Aljalbout, Florian Walter, Florian Röhrbein, Alois C. Knoll
2020	J	`jnl`	Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach. Neural Process. Lett. Elie Aljalbout, Florian Walter, Florian Röhrbein, Alois C. Knoll
2019	A	`conf`	Tracking Holistic Object Representations. BMVC Axel Sauer, Elie Aljalbout, Sami Haddadin
2019	J	`jnl`	Tracking Holistic Object Representations. CoRR Axel Sauer, Elie Aljalbout, Sami Haddadin
2018	—	`conf`	Associative Deep Clustering: Training a Classification Network with No Labels. GCPR Philip Häusser, Johannes Plapp, Vladimir Golkov, Elie Aljalbout, Daniel Cremers
2018	J	`jnl`	Clustering with Deep Learning: Taxonomy and New Methods. CoRR Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui, Daniel Cremers