AquaCap: A Training-Free Underwater Embodied Agent with Code-as-Policy
cs.RO
Submitted: 2026-09-19
Updated: 2026-09-19
Terminology
Sources
- Self-Improving Autonomous Underwater Manipulation
- UMI-Underwater: Learning Underwater Manipulation without Underwater Teleoperation
- Bi-AQUA: Bilateral Control-Based Imitation Learning for Underwater Robot Arms via Lighting-Aware Action Chunking with Transformers
- OpenVLA: An Open-Source Vision-Language-Action Model
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models
- USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots
- Code as Policies: Language Model Programs for Embodied Control
- UnderwaterVLA: Dual-brain Vision-Language-Action architecture for Autonomous Underwater Navigation
- OceanChat: Piloting Autonomous Underwater Vehicles in Natural Language
- OceanPlan: Hierarchical Planning and Replanning for Natural Language AUV Piloting in Large-scale Unexplored Ocean Environments
- A Collaborative Reasoning Framework for Anomaly Diagnostics in Underwater Robotics
- EasyUUV: An LLM-Enhanced Universal and Lightweight Sim-to-Real Reinforcement Learning Framework for UUV Attitude Control
- ChatSim: Underwater Simulation with Natural Language Prompting
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
- CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
- SAM 3: Segment Anything with Concepts
- Stonefish: Supporting Machine Learning Research in Marine Robotics
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