Ajay Mandlekar

1.3k total citations · 1 hit paper
15 papers, 330 citations indexed

About

Ajay Mandlekar is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Ajay Mandlekar has authored 15 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 5 papers in Artificial Intelligence and 4 papers in Mechanical Engineering. Recurrent topics in Ajay Mandlekar's work include Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (5 papers) and Teleoperation and Haptic Systems (3 papers). Ajay Mandlekar is often cited by papers focused on Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (5 papers) and Teleoperation and Haptic Systems (3 papers). Ajay Mandlekar collaborates with scholars based in United States, Switzerland and Canada. Ajay Mandlekar's co-authors include Li Fei-Fei, Silvio Savarese, Yuke Zhu, Animesh Garg, Danfei Xu, Roberto Martín-Martín, Anirudha Majumdar, Nikita Rudin, Marco Pavone and Sumeet Singh and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Robotics and Automation Letters and arXiv (Cornell University).

In The Last Decade

Ajay Mandlekar

13 papers receiving 315 citations

Hit Papers

align trajectories

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.

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

2023 89 citations Mayank Mittal, Calvin Yu et al. IEEE Robotics and Automation Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ajay Mandlekar United States	9	172	151	90	39	26	15	330
Jingkun Yan China	7	108 0.6×	171 1.1×	57 0.6×	17 0.4×	20 0.8×	11	279
Khizer Mehmood Pakistan	12	141 0.8×	116 0.8×	77 0.9×	21 0.5×	20 0.8×	30	325
Manuel Wüthrich Germany	9	101 0.6×	149 1.0×	120 1.3×	46 1.2×	25 1.0×	17	269
Tingwu Wang Canada	4	150 0.9×	105 0.7×	200 2.2×	28 0.7×	13 0.5×	6	328
Shih‐An Li Taiwan	11	91 0.5×	120 0.8×	125 1.4×	18 0.5×	20 0.8×	30	304
Serkan Dereli Türkiye	8	105 0.6×	216 1.4×	140 1.6×	70 1.8×	53 2.0×	18	332
Ziyi Yan China	9	132 0.8×	301 2.0×	119 1.3×	57 1.5×	36 1.4×	11	399
Linxi Fan United States	7	103 0.6×	73 0.5×	124 1.4×	16 0.4×	17 0.7×	12	239
Rongjie Huang China	11	217 1.3×	51 0.3×	123 1.4×	28 0.7×	12 0.5×	40	432

Countries citing papers authored by Ajay Mandlekar

Since Specialization

Citations

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

Fields of papers citing papers by Ajay Mandlekar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Mandlekar

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

All Works

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15 of 15 papers shown

Jiang, Zhenyu, Lawrence R. Chen, Soroush Nasiriany, et al.. (2025). Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation.

Jiang, Zhenyu, Kevin Lin, Zhenjia Xu, et al.. (2025). DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning. 16923–16930.

Hoque, Ryan, Ajay Mandlekar, Caelan Reed Garrett, Ken Goldberg, & Dieter Fox. (2024). IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning. 2840–2846. 2 indexed citations

Nasiriany, Soroush, et al.. (2024). RoboCasa: Large-Scale Simulation of Household Tasks for Generalist Robots. 11 indexed citations

Fang, Kuan, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, & Jeannette Bohg. (2023). Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. 1–8. 1 indexed citations

Mittal, Mayank, Calvin Yu, Jingzhou Liu, et al.. (2023). Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments. IEEE Robotics and Automation Letters. 8(6). 3740–3747. 89 indexed citations breakdown →

Kurenkov, Andrey, et al.. (2021). Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. arXiv (Cornell University). 1 indexed citations

Wang, Chen, Rui Wang, Ajay Mandlekar, et al.. (2021). Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8913–8920. 12 indexed citations

Xu, Danfei, Ajay Mandlekar, Roberto Martín-Martín, et al.. (2021). Deep Affordance Foresight: Planning Through What Can Be Done in the Future. 6206–6213. 32 indexed citations

10.

Mandlekar, Ajay, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, & Li Fei-Fei. (2020). GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations. 54 indexed citations

11.

Mandlekar, Ajay, Anchit Gupta, Yuke Zhu, et al.. (2019). Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. 1048–1055. 28 indexed citations

12.

Kurenkov, Andrey, Ajay Mandlekar, Roberto Martín-Martín, Silvio Savarese, & Animesh Garg. (2019). AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers.. 717–734. 2 indexed citations

13.

Majumdar, Anirudha, Sumeet Singh, Ajay Mandlekar, & Marco Pavone. (2017). Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. 22 indexed citations

14.

Mandlekar, Ajay, Yuke Zhu, Animesh Garg, Li Fei-Fei, & Silvio Savarese. (2017). Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. 3932–3939. 60 indexed citations

15.

Wu, Juhao, Xiaobiao Huang, T. Raubenheimer, et al.. (2016). Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 846. 56–63. 16 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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