Tim Welschehold

According to our database, Tim Welschehold authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DITTO: Demonstration Imitation by Trajectory Transformation.

Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada

CoRR, 2024

Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation.

Adrian Röfer, Iman Nematollahi, Tim Welschehold, Wolfram Burgard, Abhinav Valada

CoRR, 2024

Language-Grounded Dynamic Scene Graphs for Interactive Object Search with Mobile Manipulation.

Daniel Honerkamp, Martin Büchner, Fabien Despinoy, Tim Welschehold, Abhinav Valada

CoRR, 2024

2023

Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation.

Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada

IEEE Robotics Autom. Lett., December, 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., November, 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, October, 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

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning.

Nicolai Dorka, Tim Welschehold, Joschka Bödecker, Wolfram Burgard

IEEE Robotics Autom. Lett., 2023

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

CoRR, 2023

Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models.

Iman Nematollahi, Kirill Yankov, Wolfram Burgard, Tim Welschehold

CoRR, 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

Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting.

Nicolai Dorka, Tim Welschehold, Wolfram Burgard

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

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

N²M²: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments.

Daniel Honerkamp, 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

Doing Right by Not Doing Wrong in Human-Robot Collaboration.

Laura Londoño, Adrian Röfer, Tim Welschehold, Abhinav Valada

CoRR, 2022

Learning Long-Horizon Robot Exploration Strategies for Multi-object Search in Continuous Action Spaces.

Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada

Proceedings of the Robotics Research, 2022

Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models.

Iman Nematollahi, Erick Rosete-Beas, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning.

Daniel Honerkamp, Tim Welschehold, Abhinav Valada

IEEE Robotics Autom. Lett., 2021

2019

Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications.

Tim Welschehold, Nichola Abdo, Christian Dornhege, Wolfram Burgard

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Augmenting Action Model Learning by Non-Geometric Features.

Iman Nematollahi, Daniel Kuhner, Tim Welschehold, Wolfram Burgard

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Coupling Mobile Base and End-Effector Motion in Task Space.

Tim Welschehold, Christian Dornhege, Fabian Paus, Tamim Asfour, Wolfram Burgard

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

3D Human Pose Estimation in RGBD Images for Robotic Task Learning.

Christian Zimmermann, Tim Welschehold, Christian Dornhege, Wolfram Burgard, Thomas Brox

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Learning mobile manipulation actions from human demonstrations.

Tim Welschehold, Christian Dornhege, Wolfram Burgard

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Learning manipulation actions from human demonstrations.

Tim Welschehold, Christian Dornhege, Wolfram Burgard

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016