Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions R Cheng, A Agarwal, K Fragkiadaki arXiv preprint arXiv:1811.08067, 2018 | 61 | 2018 |
Simulation of vision-based tactile sensors using physics based rendering A Agarwal, T Man, W Yuan 2021 IEEE International Conference on Robotics and Automation (ICRA), 1-7, 2021 | 40 | 2021 |
Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing Z Si, Z Zhu, A Agarwal, S Anderson, W Yuan 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 21 | 2022 |
Improving Grasp Stability with Rotation Measurement from Tactile Sensing R Kolamuri, Z Si, Y Zhang, A Agarwal, W Yuan 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 19 | 2021 |
Model learning for look-ahead exploration in continuous control A Agarwal, K Muelling, K Fragkiadaki Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3151-3158, 2019 | 8 | 2019 |
Deep reinforcement learning with skill library: Exploring with temporal abstractions and coarse approximate dynamics models A Agarwal Master’s thesis, Carnegie Mellon University, Pittsburgh, PA, 2018 | 4 | 2018 |
Exploration with Expert Policy Advice A Khadke, A Agarwal, A Mohseni-Kabir, D Schwab | 2 | 2019 |
Scalable, Simulation-Guided Compliant Tactile Finger Design Y Ma, A Agarwal, SQ Liu, W Yuan, EH Adelson arXiv preprint arXiv:2403.04638, 2024 | | 2024 |
Robotic Defect Inspection with Visual and Tactile Perception for Large-scale Components A Agarwal, A Ajith, C Wen, V Stryzheus, B Miller, M Chen, MK Johnson, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |