ARMADA: Autonomous Online Failure Detection and Human Shared Control Empower Scalable Real-world Deployment and Adaptation
cs.RO
Submitted: 2025-10-02
Updated: 2026-10-12
Project page: https://virlus.github.io/armada
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- CUPID: Curating Data your Robot Loves with Influence Functions
- FDPP: Fine-tune Diffusion Policy with Human Preference
- Primal Wasserstein Imitation Learning
- AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons
- Data Scaling Laws in Imitation Learning for Robotic Manipulation
- RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction
- Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
- Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition
- What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
- Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance
- DINOv2: Learning Robust Visual Features without Supervision
- What Matters in Learning from Large-Scale Datasets for Robot Manipulation
- A System-Level View on Out-of-Distribution Data in Robotics
- Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
- Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine Guidance
- Inference-Time Policy Steering through Human Interactions
- RoboCopilot: Human-in-the-loop Interactive Imitation Learning for Robot Manipulation
- From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
- DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation
- SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
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- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
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