Mrinal Kalakrishnan

5.3k total citations · 2 hit papers
38 papers, 2.9k citations indexed

About

Mrinal Kalakrishnan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Mrinal Kalakrishnan has authored 38 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 13 papers in Biomedical Engineering. Recurrent topics in Mrinal Kalakrishnan's work include Robot Manipulation and Learning (26 papers), Reinforcement Learning in Robotics (13 papers) and Muscle activation and electromyography studies (6 papers). Mrinal Kalakrishnan is often cited by papers focused on Robot Manipulation and Learning (26 papers), Reinforcement Learning in Robotics (13 papers) and Muscle activation and electromyography studies (6 papers). Mrinal Kalakrishnan collaborates with scholars based in United States, Germany and United Kingdom. Mrinal Kalakrishnan's co-authors include Peter Pástor, Stefan Schaal, Stefan Schaal, Ludovic Righetti, Sachin Chitta, Evangelos A. Theodorou, Jonas Buchli, Michael Mistry, Sergey Levine and Julian Ibarz and has published in prestigious journals such as BMC Bioinformatics, The International Journal of Robotics Research and Science Robotics.

In The Last Decade

Mrinal Kalakrishnan

37 papers receiving 2.8k citations

Hit Papers

STOMP: Stochastic trajectory optimization for motion plan... 2011 2026 2016 2021 2011 2021 100 200 300 400 500
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. STOMP: Stochastic trajectory optimization for motion planning
    2011 568 citations Mrinal Kalakrishnan, Sachin Chitta et al. Max Planck Institute for Plasma Physics profile →
  2. How to train your robot with deep reinforcement learning: lessons we have learned
    2021 323 citations Julian Ibarz, Chelsea Finn et al. profile →

Peers

Mrinal Kalakrishnan
Keigo Watanabe Japan
Peter Pástor United States
Dmitry Berenson United States
Il Hong Suh South Korea
Josh Tobin United States
Brett Browning United States
Sachin Chitta United States
Roderic A. Grupen United States
Nathan Ratliff United States
Oskar von Stryk Germany
Keigo Watanabe Japan
Mrinal Kalakrishnan
Citations per year, relative to Mrinal Kalakrishnan Mrinal Kalakrishnan (= 1×) peers Keigo Watanabe

Countries citing papers authored by Mrinal Kalakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Mrinal Kalakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mrinal Kalakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Mrinal Kalakrishnan. A scholar is included among the top collaborators of Mrinal Kalakrishnan 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 Mrinal Kalakrishnan. Mrinal Kalakrishnan 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.
Wang, Changhao, Luis A. Pineda, Francois R. Hogan, et al.. (2025). DexterityGen: Foundation Controller for Unprecedented Dexterity. 1 indexed citations
2.
Wu, Tingfan, Arjun Majumdar, Vincent-Pierre Berges, et al.. (2024). What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments?. 17515–17521.
3.
Jang, Eric, Daniel Kappler, Mohi Khansari, et al.. (2020). Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. arXiv (Cornell University). 3 indexed citations
4.
Yan, Mengyuan, Adrian Li, Mrinal Kalakrishnan, & Peter Pástor. (2019). Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. 4804–4810. 10 indexed citations
5.
Kalashnikov, Dmitry, Alex Irpan, Peter Pástor, et al.. (2018). QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. 651–673. 71 indexed citations
6.
Sindhwani, Vikas, Rebecca Roelofs, & Mrinal Kalakrishnan. (2017). Sequential operator splitting for constrained nonlinear optimal control. 4864–4871. 11 indexed citations
7.
Yahya, Ali Abdullah, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, & Sergey Levine. (2017). Collective robot reinforcement learning with distributed asynchronous guided policy search. arXiv (Cornell University). 79–86. 79 indexed citations
8.
Pástor, Peter, Mrinal Kalakrishnan, Jonathan Binney, et al.. (2013). Learning task error models for manipulation. 2612–2618. 21 indexed citations
9.
Wüthrich, Manuel, Peter Pástor, Mrinal Kalakrishnan, Jeannette Bohg, & Stefan Schaal. (2013). Probabilistic object tracking using a range camera. arXiv (Cornell University). 3195–3202. 41 indexed citations
10.
Pástor, Peter, Mrinal Kalakrishnan, Ludovic Righetti, & Stefan Schaal. (2012). Towards Associative Skill Memories. 309–315. 77 indexed citations
11.
Kalakrishnan, Mrinal, Ludovic Righetti, Peter Pástor, & Stefan Schaal. (2012). Learning force control policies for compliant robotic manipulation. MPG.PuRe (Max Planck Society). 49–50. 10 indexed citations
12.
Herzog, Alexander, Peter Pástor, Mrinal Kalakrishnan, et al.. (2012). Template-based learning of grasp selection. 2379–2384. 65 indexed citations
13.
Kalakrishnan, Mrinal, et al.. (2011). Online movement adaptation based on previous sensor experiences. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 11 indexed citations
14.
Kalakrishnan, Mrinal, Ludovic Righetti, Peter Pástor, & Stefan Schaal. (2011). Learning force control policies for compliant manipulation. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 4639–4644. 103 indexed citations
15.
Pástor, Peter, Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, & Stefan Schaal. (2011). Skill learning and task outcome prediction for manipulation. Max Planck Institute for Plasma Physics. 3828–3834. 144 indexed citations
16.
Stulp, Freek, Evangelos A. Theodorou, Mrinal Kalakrishnan, et al.. (2011). Learning motion primitive goals for robust manipulation. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 27 indexed citations
17.
Buchli, Jonas, Mrinal Kalakrishnan, Michael Mistry, Peter Pástor, & Stefan Schaal. (2009). Compliant quadruped locomotion over rough terrain. 814–820. 123 indexed citations
18.
Liu, Chun-Chi, Jianjun Hu, Mrinal Kalakrishnan, Haiyan Huang, & Xianghong Jasmine Zhou. (2009). Integrative disease classification based on cross-platform microarray data. BMC Bioinformatics. 10(S1). S25–S25. 19 indexed citations
19.
Mehan, Michael R., Juan Nunez-Iglesias, Mrinal Kalakrishnan, Michael S. Waterman, & Xianghong Jasmine Zhou. (2009). An Integrative Network Approach to Map the Transcriptome to the Phenome. Journal of Computational Biology. 16(8). 1023–1034. 8 indexed citations
20.
Ting, Jo-Anne, Mrinal Kalakrishnan, Sethu Vijayakumar, & Stefan Schaal. (2008). Bayesian Kernel Shaping for Learning Control. ERA. 21. 1673–1680. 8 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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