Learning manipulation actions from human demonstrations. - Tim Welschehold; Christian Dornhege; Wolfram Burgard (IROS, 2016)

Learning mobile manipulation actions from human demonstrations. - Tim Welschehold; Christian Dornhege; Wolfram Burgard (IROS, 2017)

3D Human Pose Estimation in RGBD Images for Robotic Task Learning. - Christian Zimmermann 001; Tim Welschehold; Christian Dornhege; Wolfram Burgard; Thomas Brox (ICRA, 2018)

Coupling Mobile Base and End-Effector Motion in Task Space. - Tim Welschehold; Christian Dornhege; Fabian Paus; Tamim Asfour; Wolfram Burgard (IROS, 2018)

Augmenting Action Model Learning by Non-Geometric Features. - Iman Nematollahi; Daniel Kuhner; Tim Welschehold; Wolfram Burgard (ICRA, 2019)

Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications. - Tim Welschehold; Nichola Abdo; Christian Dornhege; Wolfram Burgard (IROS, 2019)

Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning. - Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2021)

Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models. - Iman Nematollahi; Erick Rosete-Beas; Adrian Röfer; Tim Welschehold; Abhinav Valada; Wolfram Burgard (ICRA, 2022)

Learning Long-Horizon Robot Exploration Strategies for Multi-object Search in Continuous Action Spaces. - Fabian Schmalstieg; Daniel Honerkamp; Tim Welschehold; Abhinav Valada (ISRR, 2022)

Doing Right by Not Doing Wrong in Human-Robot Collaboration. - Laura Londoño; Adrian Röfer; Tim Welschehold; Abhinav Valada (CoRR, 2022)

Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation. - Jan Ole von Hartz; Eugenio Chisari; Tim Welschehold; Abhinav Valada (CoRR, 2022)

N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. - Daniel Honerkamp; Tim Welschehold; Abhinav Valada (CoRR, 2022)

Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation. - Eugenio Chisari; Tim Welschehold; Joschka Boedecker; Wolfram Burgard; Abhinav Valada (IEEE Robotics Autom. Lett., 2022)

Courteous Behavior of Automated Vehicles at Unsignalized Intersections Via Reinforcement Learning. - Shengchao Yan; Tim Welschehold; Daniel Büscher; Wolfram Burgard (IEEE Robotics Autom. Lett., 2022)

Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting. - Nicolai Dorka; Tim Welschehold; Wolfram Burgard (ICLR, 2023)

Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. - Johan Vertens; Nicolai Dorka; Tim Welschehold; Michael Thompson; Wolfram Burgard (IROS, 2023)

Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models. - Iman Nematollahi; Kirill Yankov; Wolfram Burgard; Tim Welschehold (ISER, 2023)

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. - Nicolai Dorka; Tim Welschehold; Joschka Bödecker; Wolfram Burgard (IEEE Robotics Autom. Lett., 2023)

Catch Me if You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments With Moving Sounds. - Abdelrahman Younes; Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

N$^{2}$M$^{2}$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. - Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Trans. Robotics, 2023)

The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. - Jan Ole von Hartz; Eugenio Chisari; Tim Welschehold; Wolfram Burgard; Joschka Boedecker; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. - Fabian Schmalstieg; Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching. - Eugenio Chisari; Nick Heppert; Max Argus; Tim Welschehold; Thomas Brox; Abhinav Valada (CoRL, 2024)

DITTO: Demonstration Imitation by Trajectory Transformation. - Nick Heppert; Max Argus; Tim Welschehold; Thomas Brox; Abhinav Valada (IROS, 2024)

Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation. - Adrian Röfer; Iman Nematollahi; Tim Welschehold; Wolfram Burgard; Abhinav Valada (IROS, 2024)

Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation. - Sai Prasanna; Daniel Honerkamp; Kshitij Sirohi; Tim Welschehold; Wolfram Burgard; Abhinav Valada (CoRR, 2024)

Zero-Cost Whole-Body Teleoperation for Mobile Manipulation. - Daniel Honerkamp; Harsh Mahesheka; Jan Ole von Hartz; Tim Welschehold; Abhinav Valada (CoRR, 2024)

CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation. - Eugenio Chisari; Nick Heppert; Tim Welschehold; Wolfram Burgard; Abhinav Valada (IEEE Robotics Autom. Lett., 2024)

Language-Grounded Dynamic Scene Graphs for Interactive Object Search With Mobile Manipulation. - Daniel Honerkamp; Martin Büchner; Fabien Despinoy; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2024)

The Art of Imitation: Learning Long-Horizon Manipulation Tasks From Few Demonstrations. - Jan Ole von Hartz; Tim Welschehold; Abhinav Valada; Joschka Boedecker (IEEE Robotics Autom. Lett., 2024)

Whole-Body Teleoperation for Mobile Manipulation at Zero Added Cost. - Daniel Honerkamp; Harsh Mahesheka; Jan Ole von Hartz; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2025)

MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning. - Mohammad Mohammadi; Daniel Honerkamp; Martin Büchner; Matteo Cassinelli; Tim Welschehold; Fabien Despinoy; Igor Gilitschenski; Abhinav Valada (CoRR, 2025)

Task-Driven Co-Design of Mobile Manipulators. - Raphael Schneider; Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2025)

DiWA: Diffusion Policy Adaptation with World Models. - Akshay L. Chandra; Iman Nematollahi; Chenguang Huang; Tim Welschehold; Wolfram Burgard; Abhinav Valada (CoRR, 2025)