Balakumar Sundaralingam

収録論文 38本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
  2026/7/1
• GraspGen-X: Cross-Embodiment 6-DOF Diffusion-based Grasping
  2026/6/1
• cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots
  2026/3/1
• VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning
  2025/10/1
• Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control
  2025/9/1
• GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training
  2025/7/1
• Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning
  2024/12/1
• Inference-Time Policy Steering through Human Interactions
  2024/11/1
• DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning
  2024/10/1
• VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning
  2023/10/1
• cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation
  2023/10/1
• Diff-DOPE: Differentiable Deep Object Pose Estimation
  2023/10/1
• Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation
  2023/7/1
• RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
  2022/10/1
• DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality
  2022/10/1
• Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions
  2022/6/1
• HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers
  2022/5/1
• Model Predictive Control for Fluid Human-to-Robot Handovers
  2022/4/1
• Correcting Robot Plans with Natural Language Feedback
  2022/4/1
• DefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects
  2022/3/1
• Learning Perceptual Concepts by Bootstrapping from Human Queries
  2021/11/1
• Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
  2021/9/1
• DefGraspSim: Simulation-based grasping of 3D deformable objects
  2021/7/1
• STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
  2021/4/1
• Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections
  2021/3/1
• Interpreting and Predicting Tactile Signals for the SynTouch BioTac
  2021/1/1
• Joint Space Control via Deep Reinforcement Learning
  2020/11/1
• In-Hand Object-Dynamics Inference using Tactile Fingertips
  2020/3/1
• Multi-Fingered Grasp Planning via Inference in Deep Neural Networks
  2020/1/1
• Benchmarking In-Hand Manipulation
  2020/1/1
• Learning Continuous 3D Reconstructions for Geometrically Aware Grasping
  2019/10/1
• Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing
  2019/3/1
• Learning Latent Space Dynamics for Tactile Servoing
  2018/11/1
• Robust Learning of Tactile Force Estimation through Robot Interaction
  2018/10/1
• Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
  2018/9/1
• Relaxed-Rigidity Constraints: Kinematic Trajectory Optimization and Collision Avoidance for In-Grasp Manipulation
  2018/6/1
• Geometric In-Hand Regrasp Planning: Alternating Optimization of Finger Gaits and In-Grasp Manipulation
  2018/4/1
• Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network
  2018/4/1