manipulation tasks
Tasks that involve physical or virtual manipulation of objects, requiring models to understand spatial relationships and causality.
- 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
- 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
- Exploring the Limits of Vision-Language-Action Manipulation in Cross-task Generalization
- Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
- HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction
- Human-assisted Robotic Policy Refinement via Action Preference Optimization
- ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
- Real-World Reinforcement Learning of Active Perception Behaviors