Dieter Büchler

481 total citations
11 papers, 142 citations indexed

About

Dieter Büchler is a scholar working on Control and Systems Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Dieter Büchler has authored 11 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Biomedical Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Dieter Büchler's work include Robot Manipulation and Learning (8 papers), Reinforcement Learning in Robotics (5 papers) and Muscle activation and electromyography studies (4 papers). Dieter Büchler is often cited by papers focused on Robot Manipulation and Learning (8 papers), Reinforcement Learning in Robotics (5 papers) and Muscle activation and electromyography studies (4 papers). Dieter Büchler collaborates with scholars based in Germany and United States. Dieter Büchler's co-authors include Jan Peters, Bernhard Schölkopf, Roberto Calandra, Vincent Berenz, Yanlong Huang, Georg Martius, Hao Ma, Michael Muehlebach, Jochen Schneider and Jean-Claude Passy and has published in prestigious journals such as IEEE Transactions on Robotics, Robotics and Autonomous Systems and Autonomous Robots.

In The Last Decade

Dieter Büchler

11 papers receiving 133 citations

Peers

Dieter Büchler

BE

CSE

AI

CVPR

ME

Nutan Chen Germany

Kendall Lowrey United States

Jeremy Dao United States

Andrey Kurenkov Kazakhstan

Mirko Ferrati Italy

Alex X. Lee United States

Maximilian Karl Germany

Gavriel State Switzerland

Yukai Gong United States

Jin-Young Choi South Korea

Nutan Chen Germany

Dieter Büchler

51 ×0.5

BE

86 ×1.0

CSE

72 ×1.4

AI

50 ×2.2

CVPR

16 ×1.1

ME

Citations per year, relative to Dieter Büchler Dieter Büchler (= 1×) peers Nutan Chen

Countries citing papers authored by Dieter Büchler

Since Specialization

Citations

This map shows the geographic impact of Dieter Büchler'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 Dieter Büchler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dieter Büchler more than expected).

Fields of papers citing papers by Dieter Büchler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dieter Büchler. 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 Dieter Büchler. The network helps show where Dieter Büchler may publish in the future.

Co-authorship network of co-authors of Dieter Büchler

This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Büchler. A scholar is included among the top collaborators of Dieter Büchler 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 Dieter Büchler. Dieter Büchler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Schneider, Jochen, Hao Ma, Le Chen, et al.. (2024). Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion. 2 indexed citations

2.

Ma, Hao, Dieter Büchler, Bernhard Schölkopf, & Michael Muehlebach. (2023). Reinforcement learning with model-based feedforward inputs for robotic table tennis. Autonomous Robots. 47(8). 1387–1403. 4 indexed citations

3.

Ma, Hao, et al.. (2023). Data-Efficient Online Learning of Ball Placement in Robot Table Tennis. 567–573. 1 indexed citations

4.

Schneider, Jochen, et al.. (2023). AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation. 3058–3064. 3 indexed citations

5.

Büchler, Dieter, et al.. (2022). Learning to Play Table Tennis From Scratch Using Muscular Robots. IEEE Transactions on Robotics. 38(6). 3850–3860. 42 indexed citations

6.

Büchler, Dieter, Roberto Calandra, & Jan Peters. (2022). Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. Robotics and Autonomous Systems. 159. 104230–104230. 13 indexed citations

7.

Berenz, Vincent, et al.. (2021). The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes. The Journal of Open Source Software. 6(66). 2752–2752. 2 indexed citations

8.

Büchler, Dieter, et al.. (2021). Hierarchical Reinforcement Learning with Timed Subgoals. arXiv (Cornell University). 34. 6 indexed citations

9.

Büchler, Dieter, Roberto Calandra, Bernhard Schölkopf, & Jan Peters. (2018). Control of Musculoskeletal Systems Using Learned Dynamics Models. IEEE Robotics and Automation Letters. 3(4). 3161–3168. 12 indexed citations

10.

Huang, Yanlong, et al.. (2016). Jointly learning trajectory generation and hitting point prediction in robot table tennis. 650–655. 33 indexed citations

11.

Büchler, Dieter, et al.. (2016). A lightweight robotic arm with pneumatic muscles for robot learning. 4086–4092. 24 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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