Berthold Bäuml

1.4k total citations
42 papers, 960 citations indexed

About

Berthold Bäuml is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Berthold Bäuml has authored 42 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 22 papers in Biomedical Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Berthold Bäuml's work include Robot Manipulation and Learning (20 papers), Robotics and Sensor-Based Localization (12 papers) and Robotic Locomotion and Control (10 papers). Berthold Bäuml is often cited by papers focused on Robot Manipulation and Learning (20 papers), Robotics and Sensor-Based Localization (12 papers) and Robotic Locomotion and Control (10 papers). Berthold Bäuml collaborates with scholars based in Germany, United States and Japan. Berthold Bäuml's co-authors include Udo Frese, Thomas Wimböck, G. Hirzinger, Gerd Hirzinger, Oliver Birbach, Ulrich Hillenbrand, Christian Ott, Werner Friedl, Alin Albu‐Schäffer and Hanjo Täubig and has published in prestigious journals such as The International Journal of Robotics Research, Neurocomputing and Robotics and Autonomous Systems.

In The Last Decade

Berthold Bäuml

41 papers receiving 907 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Berthold Bäuml Germany 18 599 435 347 182 149 42 960
Clemens Eppner Germany 16 715 1.2× 397 0.9× 330 1.0× 161 0.9× 194 1.3× 25 974
Sven Parusel Germany 13 691 1.2× 445 1.0× 279 0.8× 183 1.0× 218 1.5× 23 1.1k
Antonio Morales Spain 19 814 1.4× 514 1.2× 208 0.6× 164 0.9× 137 0.9× 58 1.0k
Franziska Zacharias Germany 14 543 0.9× 352 0.8× 281 0.8× 162 0.9× 194 1.3× 18 805
Anis Sahbani France 13 649 1.1× 407 0.9× 318 0.9× 112 0.6× 110 0.7× 48 897
Gustavo Arechavaleta Mexico 13 446 0.7× 247 0.6× 285 0.8× 108 0.6× 86 0.6× 44 847
Ravi Balasubramanian United States 16 479 0.8× 481 1.1× 232 0.7× 74 0.4× 145 1.0× 103 948
Aaron Walsman United States 5 799 1.3× 450 1.0× 439 1.3× 224 1.2× 144 1.0× 8 1.1k
Steffen Knoop Germany 12 836 1.4× 366 0.8× 443 1.3× 145 0.8× 146 1.0× 27 1.1k
Marc Freese Japan 6 467 0.8× 252 0.6× 379 1.1× 191 1.0× 201 1.3× 12 1.0k

Countries citing papers authored by Berthold Bäuml

Since Specialization
Citations

This map shows the geographic impact of Berthold Bäuml's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Berthold Bäuml with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berthold Bäuml more than expected).

Fields of papers citing papers by Berthold Bäuml

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Berthold Bäuml. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Berthold Bäuml. The network helps show where Berthold Bäuml may publish in the future.

Co-authorship network of co-authors of Berthold Bäuml

This figure shows the co-authorship network connecting the top 25 collaborators of Berthold Bäuml. A scholar is included among the top collaborators of Berthold Bäuml based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Berthold Bäuml. Berthold Bäuml is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Burschka, Darius, et al.. (2024). Learning a Shape-Conditioned Agent for Purely Tactile In-Hand Manipulation of Various Objects. elib (German Aerospace Center). 13112–13119. 2 indexed citations
2.
Bäuml, Berthold, et al.. (2023). Learning-Based Real-Time Torque Prediction for Grasping Unknown Objects with a Multi-Fingered Hand. elib (German Aerospace Center). 2979–2984.
3.
Humt, Matthias, et al.. (2023). Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand. elib (German Aerospace Center). 2 indexed citations
4.
Bäuml, Berthold, et al.. (2022). A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4757–4764. 8 indexed citations
5.
Burschka, Darius, et al.. (2022). Speeding Up Optimization-based Motion Planning through Deep Learning. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7182–7189. 6 indexed citations
6.
Bäuml, Berthold, et al.. (2022). Learning a State Estimator for Tactile In-Hand Manipulation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4749–4756. 7 indexed citations
7.
Vogel, Jörn, Daniel Leidner, Michael Panzirsch, et al.. (2020). An Ecosystem for Heterogeneous Robotic Assistants in Caregiving: Core Functionalities and Use Cases. IEEE Robotics & Automation Magazine. 28(3). 12–28. 22 indexed citations
8.
Bäuml, Berthold, et al.. (2018). Superhuman Performance in Tactile Material Classification and Differentiation with a Flexible Pressure-Sensitive Skin. elib (German Aerospace Center). 1–9. 6 indexed citations
9.
Bäuml, Berthold, et al.. (2016). Robust material classification with a tactile skin using deep learning. elib (German Aerospace Center). 8–15. 85 indexed citations
10.
Bäuml, Berthold, et al.. (2014). The Communication Layer of the aRDx Software Framework: Highly Performant and Realtime Deterministic. Journal of Intelligent & Robotic Systems. 77(1). 171–185. 5 indexed citations
11.
Wagner, René, Udo Frese, & Berthold Bäuml. (2014). Graph SLAM with signed distance function maps on a humanoid robot. elib (German Aerospace Center). 2691–2698. 17 indexed citations
12.
Bäuml, Berthold, Richard Wagner, Oliver Birbach, et al.. (2014). Agile Justin: An upgraded member of DLR's family of lightweight and torque controlled humanoids. elib (German Aerospace Center). 2562–2563. 24 indexed citations
13.
Carrillo, Henry, et al.. (2013). On task-oriented criteria for configurations selection in robot calibration. 3653–3659. 13 indexed citations
14.
Bäuml, Berthold, et al.. (2013). The highly performant and realtime deterministic communication layer of the aRDx software framework. elib (German Aerospace Center). 3. 1–8. 7 indexed citations
15.
Wagner, René, Udo Frese, & Berthold Bäuml. (2013). 3D modeling, distance and gradient computation for motion planning: A direct GPGPU approach. elib (German Aerospace Center). 3586–3592. 17 indexed citations
16.
Bäuml, Berthold, et al.. (2011). Real-time swept volume and distance computation for self collision detection. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 5 indexed citations
17.
Birbach, Oliver, Udo Frese, & Berthold Bäuml. (2011). Realtime perception for catching a flying ball with a mobile humanoid. 5815. 5955–5962. 34 indexed citations
18.
Bodenmüller, Tim, et al.. (2011). Optimal setup of the DLR MiroSurge telerobotic system for minimally invasive surgery. 3435–3436. 5 indexed citations
19.
Borst, Christoph, Christian Ott, Thomas Wimböck, et al.. (2007). A humanoid upper body system for two-handed manipulation. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 43 indexed citations
20.
Bäuml, Berthold & Gerd Hirzinger. (2007). When hard realtime matters: Software for complex mechatronic systems. Robotics and Autonomous Systems. 56(1). 5–13. 25 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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