| Mechanically versatile soft machines through laminar jamming YS Narang, JJ Vlassak, RD Howe Advanced Functional Materials 28 (17), 1707136, 2018 | 208 | 2018 |
| DexYCB: A benchmark for capturing hand grasping of objects YW Chao, W Yang, Y Xiang, P Molchanov, A Handa, J Tremblay, ... Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 181 | 2021 |
| Stickon largestrain sensors for soft robots S Cheng, YS Narang, C Yang, Z Suo, RD Howe Advanced Materials Interfaces 6 (20), 1900985, 2019 | 99 | 2019 |
| DiSECt: A differentiable simulation engine for autonomous robotic cutting E Heiden, M Macklin, Y Narang, D Fox, A Garg, F Ramos Robotics: Science and Systems (RSS), 2021 | 74 | 2021 |
| Transforming the dynamic response of robotic structures and systems through laminar jamming YS Narang, A Degirmenci, JJ Vlassak, RD Howe IEEE Robotics and Automation Letters 3 (2), 688-695, 2018 | 62 | 2018 |
| Accelerated policy learning with parallel differentiable simulation J Xu, V Makoviychuk, Y Narang, A Garg, F Ramos, W Matusik, M Macklin International Conference on Learning Representations (ICLR), 2021 | 60 | 2021 |
| DeXtreme: Transfer of agile in-hand manipulation from simulation to reality A Handa, A Allshire, V Makoviychuk, A Petrenko, R Singh, J Liu, ... IEEE Conference on Robotics and Automation (ICRA), 2022 | 53 | 2022 |
| The effects of prosthesis inertial properties on prosthetic knee moment and hip energetics required to achieve able-bodied kinematics YS Narang, VNM Arelekatti, AG Winter IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (7 …, 2015 | 49 | 2015 |
| Sim-to-real for robotic tactile sensing via physics-based simulation and learned latent projections Y Narang, B Sundaralingam, M Macklin, A Mousavian, D Fox IEEE International Conference on Robotics and Automation (ICRA), 2021 | 44 | 2021 |
| Lightweight highly tunable jamming-based composites YS Narang, B Aktaş, S Ornellas, JJ Vlassak, RD Howe Soft Robotics 7 (6), 724-735, 2020 | 41 | 2020 |
| Inferring the material properties of granular media for robotic tasks C Matl, Y Narang, R Bajcsy, F Ramos, D Fox IEEE International Conference on Robotics and Automation (ICRA), 2020 | 40 | 2020 |
| Factory: Fast contact for robotic assembly Y Narang, K Storey, I Akinola, M Macklin, P Reist, L Wawrzyniak, Y Guo, ... Robotics: Science and Systems (RSS), 2022 | 36 | 2022 |
| A modeling framework for jamming structures B Aktaş, YS Narang, N Vasios, K Bertoldi, RD Howe Advanced Functional Materials 31 (16), 2007554, 2021 | 35 | 2021 |
| Interpreting and predicting tactile signals via a physics-based and data-driven framework YS Narang, K Van Wyk, A Mousavian, D Fox Robotics: Science and Systems (RSS), 2020 | 27 | 2020 |
| Identification of design requirements for a high-performance, low-cost, passive prosthetic knee through user analysis and dynamic simulation YS Narang Massachusetts Institute of Technology, 2013 | 26 | 2013 |
| Interpreting and predicting tactile signals for the SynTouch BioTac YS Narang, B Sundaralingam, K Van Wyk, A Mousavian, D Fox International Journal of Robotics Research 40 (12-14), 2021 | 24 | 2021 |
| Numerical analysis of periodic laminar and fibrous media undergoing a jamming transition N Vasios, Y Narang, B Aktaş, R Howe, K Bertoldi European Journal of Mechanics-A/Solids 75, 322-329, 2019 | 20 | 2019 |
| Assistive Tele-op: Leveraging transformers to collect robotic task demonstrations HM Clever, A Handa, H Mazhar, K Parker, O Shapira, Q Wan, Y Narang, ... Neural Information Processing Systems (NeurIPS) Robot Learning Workshop, 2021 | 17 | 2021 |
| STReSSD: Sim-to-real from sound for stochastic dynamics C Matl, Y Narang, D Fox, R Bajcsy, F Ramos Conference on Robot Learning (CoRL), 2020 | 16 | 2020 |
| IndustReal: Transferring contact-rich assembly tasks from simulation to reality B Tang, MA Lin, I Akinola, A Handa, GS Sukhatme, F Ramos, D Fox, ... Robotics: Science and Systems (RSS), 2023 | 15 | 2023 |
Dieter FoxUniversity of Washington and NVIDIA在 cs.washington.edu 的电子邮件经过验证
