Michael Danielczuk

1.4k total citations · 1 hit paper
26 papers, 768 citations indexed

About

Michael Danielczuk is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Danielczuk has authored 26 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 12 papers in Biomedical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Danielczuk's work include Robot Manipulation and Learning (21 papers), Soft Robotics and Applications (11 papers) and Robotic Path Planning Algorithms (6 papers). Michael Danielczuk is often cited by papers focused on Robot Manipulation and Learning (21 papers), Soft Robotics and Applications (11 papers) and Robotic Path Planning Algorithms (6 papers). Michael Danielczuk collaborates with scholars based in United States and Germany. Michael Danielczuk's co-authors include Ken Goldberg, Jeffrey Mahler, Matthew Matl, Vishal Satish, Stephen McKinley, Jeffrey Ichnowski, Andrew C. Li, Andrew Lee, Saurabh Gupta and Vincent Vanhoucke and has published in prestigious journals such as Science Robotics, arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Michael Danielczuk

26 papers receiving 749 citations

Hit Papers

Learning ambidextrous robot grasping policies 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning ambidextrous robot grasping policies
    2019 371 citations Jeffrey Mahler, Matthew Matl et al. Science Robotics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Danielczuk United States 11 582 305 239 147 142 26 768
Kaiyu Hang United States 18 638 1.1× 397 1.3× 260 1.1× 160 1.1× 125 0.9× 45 840
Pablo Jiménez Spain 9 552 0.9× 238 0.8× 335 1.4× 205 1.4× 117 0.8× 12 967
Michael Laskey United States 15 519 0.9× 257 0.8× 223 0.9× 108 0.7× 95 0.7× 26 711
Matthew Matl United States 8 584 1.0× 330 1.1× 221 0.9× 142 1.0× 130 0.9× 11 918
Dimitrios Kanoulas United Kingdom 17 420 0.7× 343 1.1× 340 1.4× 132 0.9× 157 1.1× 74 827
Kimitoshi Yamazaki Japan 16 583 1.0× 277 0.9× 357 1.5× 151 1.0× 190 1.3× 128 904
Moon-Hong Baeg South Korea 12 456 0.8× 301 1.0× 159 0.7× 157 1.1× 100 0.7× 50 692
Jeffrey Ichnowski United States 16 393 0.7× 180 0.6× 207 0.9× 127 0.9× 95 0.7× 51 621
Johannes A. Stork Sweden 16 462 0.8× 259 0.8× 432 1.8× 82 0.6× 120 0.8× 44 930
Daniel Leidner Germany 17 370 0.6× 175 0.6× 168 0.7× 210 1.4× 133 0.9× 56 655

Countries citing papers authored by Michael Danielczuk

Since Specialization
Citations

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

Fields of papers citing papers by Michael Danielczuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Danielczuk

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Danielczuk. A scholar is included among the top collaborators of Michael Danielczuk 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 Danielczuk. Michael Danielczuk 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.
Ichnowski, Jeffrey, Michael Danielczuk, Derek Xu, et al.. (2023). FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2. 5493–5500. 23 indexed citations
2.
Huang, Huang, Michael Danielczuk, Jeffrey Ichnowski, et al.. (2022). Mechanical Search on Shelves using a Novel “Bluction” Tool. 2022 International Conference on Robotics and Automation (ICRA). 6158–6164. 5 indexed citations
3.
Danielczuk, Michael, Ashwin Balakrishna, Daniel S. Brown, et al.. (2022). LEGS: Learning Efficient Grasp Sets for Exploratory Grasping. 2022 International Conference on Robotics and Automation (ICRA). 5 indexed citations
4.
Danielczuk, Michael, et al.. (2022). IPC-GraspSim: Reducing the Sim2Real Gap for Parallel-Jaw Grasping with the Incremental Potential Contact Model. 2022 International Conference on Robotics and Automation (ICRA). 6180–6187. 8 indexed citations
5.
Huang, Huang, et al.. (2022). Optimal Shelf Arrangement to Minimize Robot Retrieval Time. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 2 indexed citations
6.
Huang, Huang, Vishal Satish, Michael Danielczuk, et al.. (2021). Mechanical Search on Shelves using Lateral Access X-RAY. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2045–2052. 14 indexed citations
7.
Satish, Vishal, Huang Huang, Harry Zhang, et al.. (2021). AVPLUG: Approach Vector PLanning for Unicontact Grasping amid Clutter. 1140–1147. 2 indexed citations
8.
Ichnowski, Jeffrey, Michael Danielczuk, Daniel S. Brown, et al.. (2021). Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities. 1124–1131. 7 indexed citations
9.
Huh, Tae Myung, Kate Sanders, Michael Danielczuk, et al.. (2021). A Multi-Chamber Smart Suction Cup for Adaptive Gripping and Haptic Exploration. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1786–1793. 19 indexed citations
10.
Danielczuk, Michael, Ashwin Balakrishna, Daniel S. Brown, & Ken Goldberg. (2020). Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects. 377–393. 2 indexed citations
11.
Danielczuk, Michael, et al.. (2020). Minimal Work: A Grasp Quality Metric for Deformable Hollow Objects. 1546–1552. 14 indexed citations
12.
Ichnowski, Jeffrey, et al.. (2020). GOMP: Grasp-Optimized Motion Planning for Bin Picking. 5270–5277. 29 indexed citations
13.
Li, Andrew C., Michael Danielczuk, & Ken Goldberg. (2020). One-Shot Shape-Based Amodal-to-Modal Instance Segmentation. 4 indexed citations
14.
Danielczuk, Michael, et al.. (2020). 6DFC: Efficiently Planning Soft Non-Planar Area Contact Grasps using 6D Friction Cones. 7891–7897. 5 indexed citations
15.
Mahler, Jeffrey, et al.. (2019). Robust Toppling for Vacuum Suction Grasping. 1421–1428. 3 indexed citations
16.
Danielczuk, Michael, Matthew Matl, Saurabh Gupta, et al.. (2019). Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data. 7283–7290. 120 indexed citations
17.
Mahler, Jeffrey, Matthew Matl, Vishal Satish, et al.. (2019). Learning ambidextrous robot grasping policies. Science Robotics. 4(26). 371 indexed citations breakdown →
18.
Krishnan, Sanjay, et al.. (2019). Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts. 26. 1429–1436. 6 indexed citations
19.
Danielczuk, Michael, Matthew Matl, Saurabh Gupta, et al.. (2018). Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds.. arXiv (Cornell University). 10 indexed citations
20.
Danielczuk, Michael, et al.. (2018). Linear Push Policies to Increase Grasp Access for Robot Bin Picking. 1249–1256. 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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