Robert Gieselmann

Orcid: 0000-0002-1772-7930

According to our database1, Robert Gieselmann authored at least 7 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Fast-dRRT*: Efficient Multi-Robot Motion Planning for Automated Industrial Manufacturing.
CoRR, 2023

Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2023

2022
Latent Planning via Expansive Tree Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Planning-Augmented Hierarchical Reinforcement Learning.
IEEE Robotics Autom. Lett., 2021

ReForm: A Robot Learning Sandbox for Deformable Linear Object Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Standard Deep Generative Models for Density Estimation in Configuration Spaces: A Study of Benefits, Limits and Challenges.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018


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