Balakumar Sundaralingam
Balakumar Sundaralingam
Senior Research Scientist, NVIDIA Research
Verified email at - Homepage
Cited by
Cited by
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
J Tremblay, T To, B Sundaralingam, Y Xiang, D Fox, S Birchfield
Conference on Robot Learning (CoRL), 2018
Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network
Q Lu, K Chenna, B Sundaralingam, T Hermans
International Symposium on Robotics Research, 2017
Robust Learning of Tactile Force Estimation through Robot Interaction
B Sundaralingam, A Lambert, A Handa, B Boots, T Hermans, S Birchfield, ...
IEEE International Conference on Robotics and Automation (ICRA), 2019
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping
M Van der Merwe, Q Lu, B Sundaralingam, M Matak, T Hermans
IEEE International Conference on Robotics and Automation (ICRA), 2020
Relaxed-Rigidity Constraints: In-Grasp Manipulation using Purely Kinematic Trajectory Optimization
B Sundaralingam, T Hermans
Robotics: Science and Systems, 2017
Multifingered grasp planning via inference in deep neural networks: Outperforming sampling by learning differentiable models
Q Lu, M Van der Merwe, B Sundaralingam, T Hermans
IEEE Robotics & Automation Magazine 27 (2), 55-65, 2020
Relaxed-rigidity constraints: kinematic trajectory optimization and collision avoidance for in-grasp manipulation
B Sundaralingam, T Hermans
Autonomous Robots 43 (2), 469-483, 2019
Geometric In-Hand Regrasp Planning: Alternating Optimization of Finger Gaits and In-Grasp Manipulation
B Sundaralingam, T Hermans
IEEE International Conference on Robotics and Automation (ICRA), 2018
Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing
A Lambert, M Mukadam, B Sundaralingam, N Ratliff, B Boots, D Fox
IEEE International Conference on Robotics and Automation (ICRA), 2019
Learning Latent Space Dynamics for Tactile Servoing
G Sutanto, N Ratliff, B Sundaralingam, Y Chebotar, Z Su, A Handa, D Fox
IEEE International Conference on Robotics and Automation (ICRA), 2019
Benchmarking In-Hand Manipulation
S Cruciani, B Sundaralingam, K Hang, V Kumar, T Hermans, D Kragic
Robotics and Automation Letters (RA-L), 2020
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
2021 IEEE International Conference on Robotics and Automation (ICRA), 6444-6451, 2021
Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation
M Bhardwaj, B Sundaralingam, A Mousavian, ND Ratliff, D Fox, F Ramos, ...
Conference on Robot Learning, 750-759, 2022
DefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects
I Huang, Y Narang, C Eppner, B Sundaralingam, M Macklin, R Bajcsy, ...
IEEE Robotics and Automation Letters 7 (3), 6274-6281, 2022
In-hand object-dynamics inference using tactile fingertips
B Sundaralingam, T Hermans
IEEE Transactions on Robotics 37 (4), 1115-1126, 2021
Interpreting and predicting tactile signals for the SynTouch BioTac
YS Narang, B Sundaralingam, K Van Wyk, A Mousavian, D Fox
The International Journal of Robotics Research 40 (12-14), 1467-1487, 2021
Joint space control via deep reinforcement learning
V Kumar, D Hoeller, B Sundaralingam, J Tremblay, S Birchfield
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Correcting Robot Plans with Natural Language Feedback
P Sharma, B Sundaralingam, V Blukis, C Paxton, T Hermans, A Torralba, ...
arXiv preprint arXiv:2204.05186, 2022
Replicating dynamic humerus motion using an industrial robot
K Aliaj, GM Feeney, B Sundaralingam, T Hermans, KB Foreman, ...
PloS one 15 (11), e0242005, 2020
Learning perceptual concepts by bootstrapping from human queries
A Bobu, C Paxton, W Yang, B Sundaralingam, YW Chao, M Cakmak, ...
IEEE Robotics and Automation Letters 7 (4), 11260-11267, 2022
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