Mandlekar, Ajay

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Mandlekar, A., Nasiriany, S., Wen, B., Akinola, I., Narang, Y., Fan, L., Zhu, Y., & Fox, D. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 226

Voyager: An Open-Ended Embodied Agent with Large Language Models

Wang, G., Xie, Y., Jiang, Y., Mandlekar, A., Xiao, C., Zhu, Y., Fan, L., & Anandkumar, A. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 222

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

Mandlekar, A., Zhu, Y., Garg, A., Booher, J., Spero, M., Tung, A., Gao, J., Emmons, J., Gupta, A., Orbay, E., et al. (2018) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 134

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations

Mandlekar, A., Zhu, Y., Garg, A., Fei-Fei, L., & Savarese, S. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Adversarial Robustness in Machine LearningReinforcement Learning in Robotics

Cited by 116

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations

Mandlekar, A., Xu, D., Martín-Martín, R., Savarese, S., & Fei-Fei, L. (2020) · Robotics: Science and Systems XVI

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 90

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Fan, L., Wang, G., Jiang, Y., Mandlekar, A., Yang, Y., Zhu, H., Tang, A., Huang, D.-A., Zhu, Y., & Anandkumar, A. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 72

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Mandlekar, A., Xu, D., Wong, J., Nasiriany, S., Wang, C., Kulkarni, R., Fei-Fei, L., Savarese, S., Zhu, Y., & Martín-Martín, R. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 66

Learning Multi-Arm Manipulation Through Collaborative Teleoperation

Tung, A., Wong, J., Mandlekar, A., Martín-Martín, R., Zhu, Y., Fei-Fei, L., & Savarese, S. (2020) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 49

Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity

Mandlekar, A., Booher, J., Spero, M., Tung, A., Gupta, A., Zhu, Y., Garg, A., Savarese, S., & Fei-Fei, L. (2019) · arXiv

Robot Manipulation and LearningTeleoperation and Haptic Systems

Cited by 48

Human-in-the-Loop Imitation Learning using Remote Teleoperation

Mandlekar, A., Xu, D., Martín-Martín, R., Zhu, Y., Fei-Fei, L., & Savarese, S. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 35

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning

Jiang, Z., Xie, Y., Lin, K., Xu, Z., Wan, W., Mandlekar, A., Fan, L. J., & Zhu, Y. (2025) · 2025 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 24

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation

Wong, J., Tung, A., Kurenkov, A., Mandlekar, A., Fei-Fei, L., Savarese, S., & Martín-Martín, R. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 19

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Mandlekar, A., Xu, D., Martín-Martín, R., Savarese, S., & Fei-Fei, L. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 17

Learning and Retrieval from Prior Data for Skill-based Imitation Learning

Nasiriany, S., Gao, T., Mandlekar, A., & Zhu, Y. (2022) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 13

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

NVIDIA, :, Bjorck, J., Castañeda, F., Cherniadev, N., Da, X., Ding, R., Fan, L. "., Fang, Y., Fox, D., et al. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 10

Imitating Task and Motion Planning with Visuomotor Transformers

Dalal, M., Mandlekar, A., Garrett, C., Handa, A., Salakhutdinov, R., & Fox, D. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 10

MoCoDA: Model-based Counterfactual Data Augmentation

Pitis, S., Creager, E., Mandlekar, A., & Garg, A. (2022) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 8

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation

Duan, J., Pumacay, W., Kumar, N., Wang, Y. R., Tian, S., Yuan, W., Krishna, R., Fox, D., Mandlekar, A., & Guo, Y. (2024) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 5

S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning

Sinha, S., Mandlekar, A., & Garg, A. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 5

DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation

Mandi, Z., Hou, Y., Fox, D., Narang, Y., Mandlekar, A., & Song, S. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 0