Michael C. Welle

534 total citations
30 papers, 325 citations indexed

About

Michael C. Welle is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael C. Welle has authored 30 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 10 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael C. Welle's work include Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (5 papers) and 3D Shape Modeling and Analysis (5 papers). Michael C. Welle is often cited by papers focused on Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (5 papers) and 3D Shape Modeling and Analysis (5 papers). Michael C. Welle collaborates with scholars based in Sweden, United States and Italy. Michael C. Welle's co-authors include Udo Kelter, Danica Kragić, Martina Lippi, Alessandro Marino, Hang Yin, Guillem Alenyà, Rika Antonova, Júlia Borràs, Carme Torras and David Held 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

Michael C. Welle

28 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Welle Sweden 10 138 130 104 95 67 30 325
Roy Fox United States 9 112 0.8× 43 0.3× 20 0.2× 83 0.9× 50 0.7× 19 281
Ce Zheng China 7 156 1.1× 36 0.3× 8 0.1× 25 0.3× 123 1.8× 19 347
Arne Nordmann Germany 9 97 0.7× 32 0.2× 95 0.9× 116 1.2× 22 0.3× 23 268
Yuqing Liu China 7 290 2.1× 99 0.8× 60 0.6× 33 0.3× 26 0.4× 23 512
Stefan Profanter Germany 12 72 0.5× 36 0.3× 5 0.0× 161 1.7× 51 0.8× 16 496
N. Kyriakopoulos United States 7 28 0.2× 40 0.3× 14 0.1× 61 0.6× 33 0.5× 11 304
Matt Skach United States 6 74 0.5× 71 0.5× 13 0.1× 25 0.3× 103 1.5× 9 368
Alberto Izaguirre Spain 12 48 0.3× 25 0.2× 5 0.0× 67 0.7× 209 3.1× 26 331
Zihao Liu China 10 261 1.9× 32 0.2× 15 0.1× 22 0.2× 154 2.3× 57 425
Afsoon Afzal United States 8 69 0.5× 69 0.5× 145 1.4× 63 0.7× 34 0.5× 12 276

Countries citing papers authored by Michael C. Welle

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Welle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Welle. 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 Michael C. Welle. The network helps show where Michael C. Welle may publish in the future.

Co-authorship network of co-authors of Michael C. Welle

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Welle. A scholar is included among the top collaborators of Michael C. Welle 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 Michael C. Welle. Michael C. Welle 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.
Welle, Michael C., et al.. (2025). S$^{2}$-Diffusion: Generalizing From Instance-Level to Category-Level Skills in Robot Manipulation. IEEE Robotics and Automation Letters. 10(12). 12995–13002.
2.
Welle, Michael C., et al.. (2024). AdaFold: Adapting Folding Trajectories of Cloths via Feedback-Loop Manipulation. IEEE Robotics and Automation Letters. 9(11). 9183–9190. 2 indexed citations
3.
Welle, Michael C., et al.. (2024). A Robotic Skill Learning System Built Upon Diffusion Policies and Foundation Models. 748–754. 2 indexed citations
4.
Welle, Michael C., et al.. (2024). Standardization of Cloth Objects and its Relevance in Robotic Manipulation. 8298–8304. 3 indexed citations
5.
Lippi, Martina, et al.. (2024). Low-Cost Teleoperation with Haptic Feedback through Vision-based Tactile Sensors for Rigid and Soft Object Manipulation. Iris (Roma Tre University). 1963–1969. 4 indexed citations
6.
Welle, Michael C., et al.. (2024). Puppeteer Your Robot: Augmented Reality Leader-Follower Teleoperation. 1019–1026. 2 indexed citations
7.
Welle, Michael C., Andrej Gams, Kunpeng Yao, et al.. (2024). Transfer learning in robotics: An upcoming breakthrough? A review of promises and challenges. The International Journal of Robotics Research. 44(3). 465–485. 10 indexed citations
8.
9.
Welle, Michael C., et al.. (2023). Enabling Robot Manipulation of Soft and Rigid Objects with Vision-based Tactile Sensors. Iris (Roma Tre University). 1–7. 7 indexed citations
10.
Welle, Michael C., et al.. (2023). EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics. 3875–3881. 14 indexed citations
11.
Welle, Michael C., Andrej Gams, Kunpeng Yao, et al.. (2023). Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges. arXiv (Cornell University).
12.
Lippi, Martina, et al.. (2022). Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap. IEEE Transactions on Robotics. 39(1). 57–75. 10 indexed citations
13.
Yin, Hang, et al.. (2022). Embedding Koopman Optimal Control in Robot Policy Learning. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 13392–13399. 1 indexed citations
14.
Lippi, Martina, et al.. (2022). Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1 indexed citations
15.
Esposito, Francesco, Christian Pek, Michael C. Welle, & Danica Kragić. (2021). Learning Task Constraints in Visual-Action Planning from Demonstrations. KTH Publication Database DiVA (KTH Royal Institute of Technology). 131–138. 1 indexed citations
16.
Lippi, Martina, Michael C. Welle, Hang Yin, et al.. (2020). Benchmarking Bimanual Cloth Manipulation. IEEE Robotics and Automation Letters. 5(2). 1111–1118. 55 indexed citations
17.
Welle, Michael C., et al.. (2018). From Visual Understanding to Complex Object Manipulation. 2(1). 161–179. 11 indexed citations
18.
Welle, Michael C., et al.. (2004). Difference tools for analysis and design documents. 13–22. 24 indexed citations
19.
Welle, Michael C., et al.. (2003). Differences between versions of UML diagrams. ACM SIGSOFT Software Engineering Notes. 28(5). 227–236. 21 indexed citations
20.
Welle, Michael C., et al.. (2003). Differences between versions of UML diagrams. 227–236. 105 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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