Gupta, Abhinav

Learning to explore using active neural SLAM

Chaplot, D. S., Gandhi, D., Gupta, S., Gupta, A., & Salakhutdinov, R. (2020) · arXiv

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 318

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction

Bansal, A., Russell, B., & Gupta, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisAdvanced Image and Video Retrieval Techniques

Cited by 213

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M. K., Chen, L. Y., Ellis, K., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M., Chen, L., Ellis, K., et al. (2024) · Robotics: Science and Systems XX

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

Where2Act: From Pixels to Actions for Articulated 3D Objects

Mo, K., Guibas, L., Mukadam, M., Gupta, A., & Tulsiani, S. (2021) · arXiv

Robot Manipulation and LearningAdvanced Neural Network Applications

Cited by 132

Visual imitation made easy

Young, S., Gandhi, D., Tulsiani, S., Gupta, A., Abbeel, P., & Pinto, L. (2020) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 42