Rajeswaran, Aravind

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Rajeswaran, A., Kumar, V., Gupta, A., Vezzani, G., Schulman, J., Todorov, E., & Levine, S. (2018) · Robotics: Science and Systems XIV

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 847

R3M: A Universal Visual Representation for Robot Manipulation

Nair, S., Rajeswaran, A., Kumar, V., Finn, C., & Gupta, A. (2022) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 492

OpenEQA: Embodied Question Answering in the Era of Foundation Models

Majumdar, A., Ajay, A., Zhang, X., Putta, P., Yenamandra, S., Henaff, M., Silwal, S., Mcvay, P., Maksymets, O., Arnaud, S., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 101

Towards Generalization and Simplicity in Continuous Control

Rajeswaran, A., Lowrey, K., Todorov, E., & Kakade, S. (2017) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 94

Where are we in the search for an artificial visual cortex for embodied intelligence

Majumdar, A., Yadav, K., Arnaud, S., Ma, J., Chen, C., Silwal, S., Jain, A., Berges, V.-P., Wu, T., Vakil, J., et al. (2023) · Advances in Neural Information Processing Systems 36

Embodied and Extended CognitionPsychiatry, Mental Health, Neuroscience

Cited by 49

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Majumdar, A., Yadav, K., Arnaud, S., Ma, Y. J., Chen, C., Silwal, S., Jain, A., Berges, V.-P., Abbeel, P., Malik, J., et al. (2023) · arXiv

Embodied and Extended CognitionPsychiatry, Mental Health, Neuroscience

Cited by 49

CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning

Mandi, Z., Bharadhwaj, H., Moens, V., Song, S., Rajeswaran, A., & Kumar, V. (2022) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 19

Visual adversarial imitation learning using variational models

Rafailov, R., Yu, T., Rajeswaran, A., & Finn, C. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 12

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation

Lancaster, P., Hansen, N., Rajeswaran, A., & Kumar, V. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 8