An integrated process for design and control of lunar robotics using AI and simulation
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Abstract (arXiv)
We envision an integrated process for developing lunar construction equipment, where physical design and control are explored in parallel. In this paper, we describe a technical framework that supports this process. It relies on OpenPLX, a readable/writable declarative language that links CAD-models and autonomous systems to high-fidelity, real-time 3D simulations of contacting multibody dynamics, machine regolith interaction forces, and non-ideal sensors. To demonstrate its capabilities, we present two case studies, including an autonomous lunar rover that combines a vision-language model for navigation with a reinforcement learning-based control policy for locomotion.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 27 references that are in the map. First posted on arXiv 15 Sep 2025.
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12 of 27 references.
References · 12
- 2024OpenVLA: An Open-Source Vision-Language-Action Modelcited by 2,777
- 2025A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulationcited by 125
- 2024URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Imagescited by 106
- 2020A Survey of Behavior Trees in Robotics and AIcited by 53
- 2024Text2Robot: Evolutionary Robot Design from Text Descriptionscited by 8
- 2021Control of rough terrain vehicles using deep reinforcement learningcited by 4
- 2020A multiscale model of terrain dynamics for real-time earthmoving simulationcited by 3
- 2021Continuous control of an underground loader using deep reinforcement learningcited by 2
- 2023Sim-to-real transfer of active suspension control using deep reinforcement learningcited by 1
- 2023World Modeling for Autonomous Wheel Loaderscited by 1
- 2023Examining the simulation-to-reality gap of a wheel loader digging in deformable terraincited by 1
- 2025A simulation framework for autonomous lunar construction workcited by 1
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- 2025Multi-Modal Decentralized Reinforcement Learning for Modular Reconfigurable Lunar Robots ↗
- 2025Gemini Robotics: Bringing AI into the Physical World
- 2024SARO: Space-Aware Robot System for Terrain Crossing via Vision-Language Model
- 2026Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge
- 2024LLMSat: A Large Language Model-Based Goal-Oriented Agent for Autonomous Space Exploration
- 2024Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with Large Language Models
- 2026RACAS: Controlling Diverse Robots With a Single Agentic System
- 2026LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration