Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges
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Abstract (arXiv)
Brain-body co-evolution enables animals to develop complex behaviors in their environments. Inspired by this biological synergy, embodied co-design (ECD) has emerged as a transformative paradigm for creating intelligent agents-from virtual creatures to physical robots-by jointly optimizing their morphologies and controllers rather than treating control in isolation. This integrated approach facilitates richer environmental interactions and robust task performance. In this survey, we provide a systematic overview of recent advances in ECD. We first formalize the concept of ECD and position it within related fields. We then introduce a hierarchical taxonomy: a lower layer that breaks down agent design into three fundamental components-controlling brain, body morphology, and task environment-and an upper layer that integrates these components into four major ECD frameworks: bi-level, single-level, generative, and open-ended. This taxonomy allows us to synthesize insights from more than one hundred recent studies. We further review notable benchmarks, datasets, and applications in both simulated and real-world scenarios. Finally, we identify significant challenges and offer insights into promising future research directions. A project associated with this survey has been created at https://github.com/Yuxing-Wang-THU/SurveyBrainBody.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 235 of its 452 references that are in the map. First posted on arXiv 4 Dec 2025.
Builds on
235 of 452 references.
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Citing papers per year: 2026: 4.
4 papers.
- 2026SPADE: Self-Play in Adaptive Synthetic Executable Environmentscited by 6
- 2026Latent Diffeomorphic Co-Design of End-Effectors for Deformable and Fragile Object Manipulationcited by 1
- 2026Shaping the Evolutionary Dynamics of Robot Morphology via Adaptive Control Learningcited by 0
- 2026Bridging Body and Brain: Gene-Driven Morphology--Control Co-Designcited by 0
- 2026Bridging Body and Brain: Gene-Driven Morphology--Control Co-Design25 Sep 2026
- 2026Shaping the Evolutionary Dynamics of Robot Morphology via Adaptive Control Learning24 Aug 2026
- 2026SPADE: Self-Play in Adaptive Synthetic Executable Environments19 Aug 2026
- 2026Latent Diffeomorphic Co-Design of End-Effectors for Deformable and Fragile Object Manipulation20 Feb 2026