Benjamin Burchfiel

1.1k total citations · 3 hit papers
16 papers, 506 citations indexed

About

Benjamin Burchfiel is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benjamin Burchfiel has authored 16 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benjamin Burchfiel's work include Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (5 papers) and Human Pose and Action Recognition (3 papers). Benjamin Burchfiel is often cited by papers focused on Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (5 papers) and Human Pose and Action Recognition (3 papers). Benjamin Burchfiel collaborates with scholars based in United States and Switzerland. Benjamin Burchfiel's co-authors include Siyuan Feng, Eric Cousineau, Shuran Song, Yilun Du, Zhenjia Xu, Cheng Chi, Cheng Chi, Russ Tedrake, Zhenjia Xu and Cheng Chi and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and arXiv (Cornell University).

In The Last Decade

Benjamin Burchfiel

16 papers receiving 486 citations

Hit Papers

Diffusion Policy: Visuomotor Policy Learning via Action D... 2023 2026 2024 2025 2023 2024 2024 50 100 150 200
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. Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
    2023 204 citations Cheng Chi, Siyuan Feng et al. profile →
  2. Diffusion policy: Visuomotor policy learning via action diffusion
    2024 101 citations Cheng Chi, Zhenjia Xu et al. The International Journal of Robotics Research profile →
  3. Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
    2024 56 citations Cheng Chi, Zhenjia Xu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Burchfiel United States 9 244 150 120 81 56 16 506
Soshi Iba United States 12 234 1.0× 165 1.1× 80 0.7× 79 1.0× 53 0.9× 24 424
Danny Driess Germany 12 178 0.7× 147 1.0× 99 0.8× 74 0.9× 41 0.7× 20 370
Balakumar Sundaralingam United States 12 345 1.4× 206 1.4× 107 0.9× 129 1.6× 54 1.0× 17 482
Aleksandar Jevtić Spain 13 119 0.5× 155 1.0× 127 1.1× 51 0.6× 80 1.4× 36 450
Huazhe Xu China 11 141 0.6× 162 1.1× 74 0.6× 75 0.9× 24 0.4× 29 400
Akshara Rai United States 12 222 0.9× 129 0.9× 120 1.0× 156 1.9× 49 0.9× 23 378
Rika Antonova United States 9 119 0.5× 110 0.7× 121 1.0× 43 0.5× 34 0.6× 14 297
Vincent Berenz Japan 11 205 0.8× 101 0.7× 116 1.0× 78 1.0× 47 0.8× 24 420
Daniel Kappler Germany 12 393 1.6× 198 1.3× 168 1.4× 189 2.3× 61 1.1× 20 555
Claudia Pérez-D’Arpino United States 8 187 0.8× 165 1.1× 110 0.9× 48 0.6× 33 0.6× 14 370

Countries citing papers authored by Benjamin Burchfiel

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Burchfiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Burchfiel

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

All Works

16 of 16 papers shown
1.
2.
Chi, Cheng, Eric Cousineau, Naveen Kuppuswamy, et al.. (2025). Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control. 4829–4836. 4 indexed citations
3.
Zhao, Jialiang, Naveen Kuppuswamy, Siyuan Feng, Benjamin Burchfiel, & Edward H. Adelson. (2025). PolyTouch: A Robust Multi-Modal Tactile Sensor for Contact-Rich Manipulation Using Tactile-Diffusion Policies. 104–110. 1 indexed citations
4.
Chi, Cheng, Zhenjia Xu, Eric Cousineau, et al.. (2024). Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots. 56 indexed citations breakdown →
5.
Chi, Cheng, Zhenjia Xu, Siyuan Feng, et al.. (2024). Diffusion policy: Visuomotor policy learning via action diffusion. The International Journal of Robotics Research. 44(10-11). 1684–1704. 101 indexed citations breakdown →
6.
Chi, Cheng, Siyuan Feng, Yilun Du, et al.. (2023). Diffusion Policy: Visuomotor Policy Learning via Action Diffusion. 204 indexed citations breakdown →
7.
Burchfiel, Benjamin, et al.. (2023). Bag All You Need: Learning a Generalizable Bagging Strategy for Heterogeneous Objects. 960–967. 10 indexed citations
8.
Chi, Cheng, et al.. (2023). Cloth Funnels: Canonicalized-Alignment for Multi-Purpose Garment Manipulation. 5872–5879. 23 indexed citations
9.
Chi, Cheng, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, & Shuran Song. (2023). Iterative residual policy: For goal-conditioned dynamic manipulation of deformable objects. The International Journal of Robotics Research. 43(4). 389–404. 10 indexed citations
10.
Xu, Zhenjia, Cheng Chi, Benjamin Burchfiel, et al.. (2022). DextAIRity: Deformable Manipulation Can be a Breeze. 32 indexed citations
11.
Chi, Cheng, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, & Shuran Song. (2022). Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects. 27 indexed citations
12.
Zhou, Yilun, Benjamin Burchfiel, & George Konidaris. (2018). Representing, learning, and controlling complex object interactions. Autonomous Robots. 42(7). 1355–1367. 1 indexed citations
13.
Burchfiel, Benjamin & George Konidaris. (2018). Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. arXiv (Cornell University). 31. 6843–6850. 3 indexed citations
14.
Burchfiel, Benjamin & George Konidaris. (2017). Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception. 5 indexed citations
15.
Burchfiel, Benjamin, Carlo Tomasi, & Ronald Parr. (2016). Distance Minimization for Reward Learning from Scored Trajectories. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 6 indexed citations
16.
Xu, Junming, Benjamin Burchfiel, Xiaojin Zhu, & Amy Bellmore. (2013). An Examination of Regret in Bullying Tweets. North American Chapter of the Association for Computational Linguistics. 697–702. 22 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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