Tim Welschehold
Orcid: 0000-0003-1163-4992
According to our database1,
Tim Welschehold
authored at least 30 papers
between 2016 and 2024.
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Bibliography
2024
Language-Grounded Dynamic Scene Graphs for Interactive Object Search With Mobile Manipulation.
IEEE Robotics Autom. Lett., October, 2024
CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation.
IEEE Robotics Autom. Lett., June, 2024
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching.
CoRR, 2024
Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation.
CoRR, 2024
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations.
CoRR, 2024
Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation.
CoRR, 2024
2023
IEEE Robotics Autom. Lett., December, 2023
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation.
IEEE Robotics Autom. Lett., November, 2023
N$^{2}$M$^{2}$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments.
IEEE Trans. Robotics, October, 2023
Catch Me if You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments With Moving Sounds.
IEEE Robotics Autom. Lett., 2023
IEEE Robotics Autom. Lett., 2023
Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models.
CoRR, 2023
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces.
IROS, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Courteous Behavior of Automated Vehicles at Unsignalized Intersections Via Reinforcement Learning.
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
N<sup>2</sup>M<sup>2</sup>: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments.
CoRR, 2022
CoRR, 2022
Learning Long-Horizon Robot Exploration Strategies for Multi-object Search in Continuous Action Spaces.
Proceedings of the Robotics Research, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., 2021
2019
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
2016
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016