Arsalan Mousavian
NVIDIA
Latest
- M2T2: Multi-task Masked Transformer for Object-centric Pick-and-Place
- CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
- ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
- Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
- MegaPose: 6D Pose Estimationof Novel Objects via Render & Compare
- IFOR: Iterative Flow Minimization for Robotic Object Rearrangement
- Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
- RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
- STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
- NeRP: Neural Rearrangement Planning for Unknown Objects
- ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
- Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
- Object Rearrangement Using Learned Implicit Collision Functions
- Reactive Human-to-Robot Handovers of Arbitrary Objects
- RGB-D Local Implicit Function for Depth Completion of Transparent Objects
- Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections
- Interpreting and Predicting Tactile Signals for the SynTouch BioTac
- Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
- Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework
- 6-DOF Grasping for Target-driven Object Manipulation in Clutter
- LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
- Self-supervised 6D Object Pose Estimation for Robot Manipulation
- 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
- A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set
- The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
- PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking