EmbodiRSI: Recursive Self-Improvement for Data-Efficient Robot Adaptation
cs.RO
Submitted: 2026-09-30
Updated: 2026-10-03
Terminology
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real
- Data-Efficient Multitask DAgger
- SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
- Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation
- ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
- Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference
- ABot-Claw: A Foundation for Persistent, Cooperative, and Self-Evolving Robotic Agents
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
- OpenVLA: An Open-Source Vision-Language-Action Model
- RoboClaw: An Agentic Framework for Scalable Long-Horizon Robotic Tasks
- RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator
- FailSafe: Reasoning and Recovery from Failures in Vision-Language-Action Models
- V-CAGE: Vision-Closed-Loop Agentic Generation Engine for Robotic Manipulation
- MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
- GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training
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