Oliver Kroemer

4.0k total citations
81 papers, 2.3k citations indexed

About

Oliver Kroemer is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Oliver Kroemer has authored 81 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 39 papers in Artificial Intelligence and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Oliver Kroemer's work include Robot Manipulation and Learning (53 papers), Reinforcement Learning in Robotics (31 papers) and Tactile and Sensory Interactions (12 papers). Oliver Kroemer is often cited by papers focused on Robot Manipulation and Learning (53 papers), Reinforcement Learning in Robotics (31 papers) and Tactile and Sensory Interactions (12 papers). Oliver Kroemer collaborates with scholars based in United States, Germany and Belgium. Oliver Kroemer's co-authors include Jan Peters, Gerhard Neumann, Jens Kober, Katharina Mülling, Scott Niekum, George Konidaris, Christian Daniel, Carmel Majidi, Tess Hellebrekers and Heni Ben Amor and has published in prestigious journals such as SHILAP Revista de lepidopterología, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Oliver Kroemer

76 papers receiving 2.3k citations

Peers

Oliver Kroemer

CSE

BE

AI

CN

CVPR

Michael Gienger Germany

Takamitsu Matsubara Japan

Freek Stulp Germany

Matei Ciocarlie United States

Jun Nakanishi Japan

Roderic A. Grupen United States

Dongheui Lee Germany

Rui Yan China

Jeannette Bohg United States

Robert Haschke Germany

Michael Gienger Germany

Oliver Kroemer

1.5k ×1.0

CSE

1.1k ×1.3

BE

535 ×0.6

AI

209 ×0.4

CN

561 ×1.2

CVPR

Citations per year, relative to Oliver Kroemer Oliver Kroemer (= 1×) peers Michael Gienger

Countries citing papers authored by Oliver Kroemer

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Kroemer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Kroemer

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

All Works

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20 of 20 papers shown

1.

Vats, Shivam, et al.. (2025). Optimal Interactive Learning on the Job via Facility Location Planning.

2.

Vats, Shivam, et al.. (2025). RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation. 9776–9783.

3.

Kim, Chung Hee, et al.. (2024). Towards Robotic Tree Manipulation: Leveraging Graph Representations. 11884–11890. 4 indexed citations

4.

Zhang, Kevin, et al.. (2024). Towards Autonomous Crop Monitoring: Inserting Sensors in Cluttered Environments. IEEE Robotics and Automation Letters. 9(6). 5150–5157. 5 indexed citations

5.

Lee, Moon Young, et al.. (2024). Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models. 16445–16445. 2 indexed citations

6.

Kroemer, Oliver, et al.. (2024). Estimating Material Properties of Interacting Objects Using Sum-GP-UCB. 16684–16690. 2 indexed citations

7.

Zhang, Kevin, et al.. (2022). Mission-Level Robustness with Rapidly-Deployed, Autonomous Aerial Vehicles by Carnegie Mellon Team Tartan at MBZIRC 2020. arXiv (Cornell University). 2. 172–200. 2 indexed citations

8.

Kroemer, Oliver, Scott Niekum, & George Konidaris. (2021). A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. Journal of Machine Learning Research. 22(30). 1–82. 121 indexed citations

9.

Kroemer, Oliver, et al.. (2020). Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps.. arXiv (Cornell University). 1184–1194. 1 indexed citations

10.

Liang, Jacky, Ankur Handa, Karl Van Wyk, et al.. (2020). In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation. 6203–6209. 21 indexed citations

11.

Zhou, Xian, et al.. (2019). Graph-Structured Visual Imitation. 979–989. 3 indexed citations

12.

Kemna, Stephanie, Oliver Kroemer, & Gaurav S. Sukhatme. (2018). Pilot Surveys for Adaptive Sampling. International Conference on Robotics and Automation. 2 indexed citations

13.

Clarke, Samuel, et al.. (2018). Learning Audio Feedback for Estimating Amount and Flow of Granular Material. 87. 529–550. 12 indexed citations

14.

Kemna, Stephanie, Oliver Kroemer, & Gaurav S. Sukhatme. (2018). Pilot Surveys for Adaptive Informative Sampling. 6417–6424. 7 indexed citations

15.

Hausman, Karol, Yevgen Chebotar, Oliver Kroemer, Gaurav S. Sukhatme, & Stefan Schaal. (2017). Regrasping using Tactile Perception and Supervised Policy Learning. National Conference on Artificial Intelligence. 5 indexed citations

16.

Kroemer, Oliver, Christian Daniel, Gerhard Neumann, Herke van Hoof, & Jan Peters. (2015). Towards learning hierarchical skills for multi-phase manipulation tasks. Lincoln Repository (University of Lincoln). 1503–1510. 68 indexed citations

17.

Kroemer, Oliver, Herke van Hoof, Gerhard Neumann, & Jan Peters. (2014). Learning to predict phases of manipulation tasks as hidden states. Lincoln Repository (University of Lincoln). 4009–4014. 32 indexed citations

18.

Hoof, Herke van, Oliver Kroemer, & Jan Peters. (2013). Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments. 169–176. 5 indexed citations

19.

Muelling, Katharina, Jens Kober, Oliver Kroemer, & Jan Peters. (2012). Learning to Select and Generalize Striking Movements in Robot Table Tennis. National Conference on Artificial Intelligence. 11 indexed citations

20.

Kroemer, Oliver, Emre Uğur, Erhan Öztop, & Jan Peters. (2012). A kernel-based approach to direct action perception. 2605–2610. 40 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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