ARSTAG: An Agentic Real2Sim2Real System for Task-Specific Robot Data Generation
cs.RO
Submitted: 2026-09-21
Updated: 2026-09-21
Project page: https://boweili666.github.io/ARSTAG
Terminology
Sources
- Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation
- Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation
- ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
- RoboClaw: An Agentic Framework for Scalable Long-Horizon Robotic Tasks
- ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation
- RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- ManiSkillFormer: Demonstration-Free Compositional Manipulation via Geometric Contracts and Agentic Skill Graph
- NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing
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