Summary

This repository presents a comprehensive survey on Embodied Co-Design (ECD), a paradigm for developing intelligent agents by jointly optimizing their morphology and control systems. It targets researchers and engineers in embodied AI, offering a novel taxonomy to classify over 100 ECD studies, analyze frontiers, and identify future challenges. The survey aims to serve as a foundational reference for advancing agent design in both simulated and real-world applications.

How It Works

The project provides a comprehensive survey of Embodied Co-Design (ECD) by introducing a novel hierarchical taxonomy to classify design spaces (control, morphology, tasks). It systematically analyzes over 100 research papers, categorizing them into distinct ECD methodologies such as Bi-Level, Single-Level, Generative, and Open-Ended Co-Design. The survey also details relevant simulated benchmarks and real-world applications, offering a structured overview of the field's current state and future directions.

Quick Start & Requirements

This repository serves as a comprehensive survey and reference guide, not a software package. No installation or execution is required. Access to the survey paper (available on Arxiv) and familiarity with embodied AI research are the primary prerequisites.

Highlighted Details

• Presents a novel hierarchical taxonomy for classifying Embodied Co-Design approaches.
• Analyzes over 100 recent ECD studies, detailing their methods, agent types, and publication venues.
• Includes extensive lists of simulated benchmarks (e.g., Evolution Gym, ModularEvoGym) and real-world applications.
• Highlights emerging trends like LLM/VLM-based generation for robot design.

Maintenance & Community

The repository is maintained by Yuxing Wang, with contact information provided. It actively encourages community contributions via pull requests to include relevant research papers. Updates are planned, with the survey paper available on Arxiv.

Licensing & Compatibility

No specific open-source license is mentioned in the provided README. This lack of licensing information may pose compatibility concerns for commercial use or integration into other projects.

Limitations & Caveats

As a survey repository, it does not offer executable code or a deployable system. The content is research-oriented, with updates planned. The absence of explicit licensing information is a notable caveat for potential adopters.