Sudeep Dasari

977 total citations
12 papers, 114 citations indexed

About

Sudeep Dasari is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sudeep Dasari has authored 12 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sudeep Dasari's work include Robot Manipulation and Learning (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Reinforcement Learning in Robotics (4 papers). Sudeep Dasari is often cited by papers focused on Robot Manipulation and Learning (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Reinforcement Learning in Robotics (4 papers). Sudeep Dasari collaborates with scholars based in United States, India and Israel. Sudeep Dasari's co-authors include Abhinav Gupta, Vikash Kumar, Sergey Levine, David Mascareñas, Chelsea Finn, Charles Dorn, Yongchao Yang, Alex X. Lee, Frederik Ebert and Quan Vuong and has published in prestigious journals such as Journal of Engineering Mechanics, Journal of Intelligent Material Systems and Structures and Frontiers in Built Environment.

In The Last Decade

Sudeep Dasari

12 papers receiving 109 citations

Peers

Sudeep Dasari

CVPR

CSE

AI

CSE

BE

Anton Saveliev Russia

Patricio Loncomilla Chile

Haimonti Dutta India

Francois R. Hogan Canada

Dhruv Shah India

Tu-Hoa Pham United States

Xiaogang Jia China

Cristina Palmero Spain

Thomas Brunner Germany

Thang To

Anton Saveliev Russia

Sudeep Dasari

20 ×0.4

CVPR

13 ×0.3

CSE

10 ×0.4

AI

11 ×0.6

CSE

17 ×1.1

BE

Citations per year, relative to Sudeep Dasari Sudeep Dasari (= 1×) peers Anton Saveliev

Countries citing papers authored by Sudeep Dasari

Since Specialization

Citations

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

Fields of papers citing papers by Sudeep Dasari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudeep Dasari

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

All Works

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12 of 12 papers shown

1.

Dasari, Sudeep, et al.. (2025). The Ingredients for Robotic Diffusion Transformers. 15617–15625. 1 indexed citations

2.

Dasari, Sudeep, et al.. (2024). HRP: Human affordances for Robotic Pre-training. 5 indexed citations

3.

Walke, Homer, Karl Pertsch, Kevin Black, et al.. (2024). Octo: An Open-Source Generalist Robot Policy. 29 indexed citations

4.

Dasari, Sudeep, Abhinav Gupta, & Vikash Kumar. (2023). Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. 3889–3896. 18 indexed citations

5.

Wang, Jianren, et al.. (2023). Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. 3836–3845. 3 indexed citations

6.

Dasari, Sudeep, Jianren Wang, Shikhar Bahl, et al.. (2022). RB2: Robotic Manipulation Benchmarking with a Twist. arXiv (Cornell University). 1 indexed citations

7.

Tian, Stephen, Suraj Nair, Frederik Ebert, et al.. (2021). Model-Based Visual Planning with Self-Supervised Functional Distances. International Conference on Learning Representations. 1 indexed citations

8.

Mascareñas, David, et al.. (2019). Augmented Reality for Enabling Smart Nuclear Infrastructure. Frontiers in Built Environment. 5. 12 indexed citations

9.

Dorn, Charles, Sudeep Dasari, Yongchao Yang, et al.. (2018). Efficient Full-Field Vibration Measurements and Operational Modal Analysis Using Neuromorphic Event-Based Imaging. Journal of Engineering Mechanics. 144(7). 17 indexed citations

10.

Ebert, Frederik, Sudeep Dasari, Alex X. Lee, Sergey Levine, & Chelsea Finn. (2018). Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning. arXiv (Cornell University). 983–993. 15 indexed citations

11.

Yu, Tianhe, Chelsea Finn, Sudeep Dasari, et al.. (2018). One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning. International Conference on Learning Representations. 3 indexed citations

12.

Dasari, Sudeep, et al.. (2018). A framework for the identification of full-field structural dynamics using sequences of images in the presence of non-ideal operating conditions. Journal of Intelligent Material Systems and Structures. 29(17). 3456–3481. 9 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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