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NVIDIA Seattle Robotics Lab
NVIDIA Seattle Robotics Lab
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Balakumar Sundaralingam

Balakumar Sundaralingam

NVIDIA

Latest

  • Inference-Time Policy Steering through Human Interactions
  • Avoid Everything: Model-Free Collision Avoidance with Expert-Guided Fine-Tuning
  • DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning
  • VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning
  • CuRobo: Parellelized Collision-Free Robot Motion Generation
  • DeXtreme: Transferring Agile In-hand Manipulation from Simulation to Reality
  • RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
  • Learning Perceptual Concepts by Bootstrapping from Human Queries
  • Correcting Robot Plans with Natural Language Feedback
  • Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
  • HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers
  • Model Predictive Control for Fluid Human-to-Robot Handovers
  • DefGraspSim: Physics-based simulation of grasp outcomes on 3D deformable objects
  • STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
  • DefGraspSim: Simulation-based grasping of 3D deformable objects
  • Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections
  • In-Hand Object-Dynamics Inference using Tactile Fingertips
  • Interpreting and Predicting Tactile Signals for the SynTouch BioTac
  • Robust Learning of Tactile Force Estimation through Robot Interaction

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