Ajay Mandlekar
Impact in
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- Robot Manipulation and Learning
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Adversarial Robustness in Machine Learning
Papers in
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- Robot Manipulation and Learning 9
- Robotic Mechanisms and Dynamics 2
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- Reinforcement Learning in Robotics 5
- AI-based Problem Solving and Planning 2
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Li Fei-Fei (7 shared papers)Silvio Savarese (7 shared papers)Yuke Zhu (6 shared papers)Animesh Garg (4 shared papers)Danfei Xu (3 shared papers)Roberto Martín-Martín (4 shared papers)B. N. Babich (1 shared paper)Mayank Mittal (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)arXiv (Cornell University) (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Ajay Mandlekar
14 papers receiving 341 citations
Ajay Mandlekar's Hit Papers
Peers
Comparison fields: 5 of 64
- Control and Systems Engineering 158
- Artificial Intelligence 174
- Computer Vision and Pattern Recognition 93
- Automotive Engineering 24
- Human-Computer Interaction 10
Countries citing papers authored by Ajay Mandlekar
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
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-authors
The 25 scholars most cited alongside Ajay Mandlekar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments Hit paper breakdown → | 2023 | 103 |
| 2 | 2017 | 60 | |
| 3 | 2020 | 59 | |
| 4 | 2021 | 32 | |
| 5 | 2019 | 29 | |
| 6 | 2017 | 22 | |
| 7 | 2024 | 16 | |
| 8 | 2016 | 16 | |
| 9 | 2021 | 12 | |
| 10 | 2024 | 3 | |
| 11 | AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. | 2019 | 2 |
| 12 | 2025 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2022 | 0 | |
| 16 | 2022 | 0 | |
| 17 | 2025 | 0 |
About Ajay Mandlekar
Ajay Mandlekar is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 17 papers that have together received 357 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (5 papers), Teleoperation and Haptic Systems (3 papers), Robotic Mechanisms and Dynamics (2 papers), AI-based Problem Solving and Planning (2 papers), Hand Gesture Recognition Systems (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Control and Systems Engineering (158 citations), Artificial Intelligence (174 citations), Computer Vision and Pattern Recognition (93 citations), Automotive Engineering (24 citations) and Human-Computer Interaction (10 citations). Ajay Mandlekar has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Li Fei-Fei, Silvio Savarese, Yuke Zhu, Animesh Garg, Danfei Xu, Roberto Martín-Martín, B. N. Babich, Mayank Mittal, Yunrong Guo and David Hoeller. Their work appears in journals such as IEEE Robotics and Automation Letters, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, arXiv (Cornell University) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.