EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution
cs.AI
Submitted: 2026-10-07
Updated: 2026-10-07
Project page: https://geeksongs.github.io/agentic_robotics
Sources
- RT-1: Robotics Transformer for Real-World Control at Scale
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
- NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks
- EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents
- RLDX-1 Technical Report
- OpenVLA: An Open-Source Vision-Language-Action Model
- MolmoAct: Action Reasoning Models that can Reason in Space
- ASPIRE: Agentic /Skills Discovery for Robotics
- Eureka: Human-Level Reward Design via Coding Large Language Models
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Proximal Policy Optimization Algorithms
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
- AtomVLA: Scalable Post-Training for Robotic Manipulation via Predictive Latent World Models
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Self-Evolving Embodied Agents via Skill-Harness Evolution
- WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
- Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
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