Yashraj Narang
Yashraj Narang
NVIDIA Research
Vahvistettu sähköpostiosoite verkkotunnuksessa nvidia.com
Nimike
Viittaukset
Viittaukset
Vuosi
Mechanically versatile soft machines through laminar jamming
YS Narang, JJ Vlassak, RD Howe
Advanced Functional Materials 28 (17), 1707136, 2018
712018
Stick‐on large‐strain sensors for soft robots
S Cheng, YS Narang, C Yang, Z Suo, RD Howe
Advanced Materials Interfaces, 1900985, 2019
322019
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
322015
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
292018
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
212013
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
102020
The effects of the inertial properties of above-knee prostheses on optimal stiffness, damping, and engagement parameters of passive prosthetic knees
YS Narang, VNM Arelekatti, AG Winter
Journal of Biomechanical Engineering 138 (12), 121002, 2016
82016
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
72019
Lightweight highly tunable jamming-based composites
YS Narang, B Aktaş, S Ornellas, JJ Vlassak, RD Howe
Soft Robotics, 2020
62020
Effects of prosthesis mass on hip energetics, prosthetic knee torque, and prosthetic knee stiffness and damping parameters required for transfemoral amputees to walk with …
YS Narang, AG Winter
ASME International Design Engineering Technical Conferences and Computers …, 2014
62014
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
52020
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
42020
Achieving mechanical versatility in robots and structures through laminar jamming
YS Narang
Harvard University, 2018
42018
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
32021
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
12021
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, 2021
12021
DefGraspSim: Simulation-based grasping of 3D deformable objects
I Huang, Y Narang, C Eppner, B Sundaralingam, M Macklin, T Hermans, ...
arXiv preprint arXiv:2107.05778, 2021
2021
DiSECt: A differentiable simulation engine for autonomous robotic cutting
E Heiden, M Macklin, Y Narang, D Fox, A Garg, F Ramos
arXiv preprint arXiv:2105.12244, 2021
2021
Generating computer simulations of manipulations of materials based on machine learning from measured statistics of observed manipulations
CL Chen, YS Narang, F Tozeto Ramos, D Fox
US Patent App. 16/916,017, 2021
2021
A modeling framework for jamming structures
B Aktaş, YS Narang, N Vasios, K Bertoldi, RD Howe
Advanced Functional Materials, 2007554, 2021
2021
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Artikkelit 1–20